Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between £70,000-£80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Jul 17, 2026
Full time
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between £70,000-£80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Job ID: Amazon EU SARL (UK Branch) - D67 This role can be based in any of these locations: London, Paris, Milan or Madrid. ProServe is a new retail science consulting organization we are launching within EU Amazon Vendor Services (AVS), designed to address the most pressing and complex issues held by the senior leadership of our largest vendors and brands. We start from the customer's problem and work backwards to apply distinctive results that "only Amazon" can deliver, and develop science-driven capabilities that create differentiating insight. We serve our clients through the development of customer and retail strategies that enable their long term growth via a combination of strategy consulting methodologies, data science, and decades of proprietary transaction data and eCommerce expertise. As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. You will also work directly with our dedicated Data Science team to prototype custom solutions with the potential to scale to hundreds of vendors, and even change the market. As a core team member you will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities. This is an ideal role if you are looking to leverage your client service skills while broadening your understanding of Product Management, Data Science, and other hands on business ownership roles in the technology industry. We are open to strong-performing client service professionals with an analytical mindset and a track record of driving change, including industries and functions such as management consulting, corporate or marketing strategy and planning. The ideal candidate will have a strong combination of leadership experience and problem solving capabilities. They will have closely worked with an executive leader in their organization and/or as a consultant to executive clients. They will be proficient in data analysis and AI. They will be curious learners looking for challenges and growth. They will serve as trusted advisors for our vendor's business executives and leaders. Key job responsibilities Delivery: Define and plan out complex integrated workstreams, delivering executive and board level briefings and materials, and taking responsibility for the engagement's success. Engagement: Take ownership of driving the project towards a bar-raising outcome. Be the face of the engagement team for vendors. Program enhancement: Proactively share feedback and learning from engagements with Product Managers and Data Scientists to better design tools/frameworks for an enhanced client experience. This is a customer facing role with relevant business travel when needed. Basic Qualifications Bachelor's degree or equivalent Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations Experience delivering results for large, cross functional initiatives/projects, or experience communicating results to senior leadership Knowledge of writing and optimizing SQL queries in a business environment with large scale, complex datasets 5+ years of experience in strategy consulting, developing and deploying growth strategies at Executive/General Management level Preferred Qualifications Experience in advising and influencing executive leadership Experience within e-commerce or Retail fields MBA from a top tier business school Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Jul 17, 2026
Full time
Job ID: Amazon EU SARL (UK Branch) - D67 This role can be based in any of these locations: London, Paris, Milan or Madrid. ProServe is a new retail science consulting organization we are launching within EU Amazon Vendor Services (AVS), designed to address the most pressing and complex issues held by the senior leadership of our largest vendors and brands. We start from the customer's problem and work backwards to apply distinctive results that "only Amazon" can deliver, and develop science-driven capabilities that create differentiating insight. We serve our clients through the development of customer and retail strategies that enable their long term growth via a combination of strategy consulting methodologies, data science, and decades of proprietary transaction data and eCommerce expertise. As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. You will also work directly with our dedicated Data Science team to prototype custom solutions with the potential to scale to hundreds of vendors, and even change the market. As a core team member you will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities. This is an ideal role if you are looking to leverage your client service skills while broadening your understanding of Product Management, Data Science, and other hands on business ownership roles in the technology industry. We are open to strong-performing client service professionals with an analytical mindset and a track record of driving change, including industries and functions such as management consulting, corporate or marketing strategy and planning. The ideal candidate will have a strong combination of leadership experience and problem solving capabilities. They will have closely worked with an executive leader in their organization and/or as a consultant to executive clients. They will be proficient in data analysis and AI. They will be curious learners looking for challenges and growth. They will serve as trusted advisors for our vendor's business executives and leaders. Key job responsibilities Delivery: Define and plan out complex integrated workstreams, delivering executive and board level briefings and materials, and taking responsibility for the engagement's success. Engagement: Take ownership of driving the project towards a bar-raising outcome. Be the face of the engagement team for vendors. Program enhancement: Proactively share feedback and learning from engagements with Product Managers and Data Scientists to better design tools/frameworks for an enhanced client experience. This is a customer facing role with relevant business travel when needed. Basic Qualifications Bachelor's degree or equivalent Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations Experience delivering results for large, cross functional initiatives/projects, or experience communicating results to senior leadership Knowledge of writing and optimizing SQL queries in a business environment with large scale, complex datasets 5+ years of experience in strategy consulting, developing and deploying growth strategies at Executive/General Management level Preferred Qualifications Experience in advising and influencing executive leadership Experience within e-commerce or Retail fields MBA from a top tier business school Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Data Scientist Salary: £60,000 - £90,000 + Equity Potential Location: London (Hybrid) Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) Help Build the Future of AI-Powered Public Safety We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. Build anomaly detection and behavioural baselining models. Translate raw telemetry streams into meaningful, actionable intelligence. Work with streaming and low-latency data architectures to support real-time decision making. Collaborate with software engineers and AI specialists to take solutions from research through to production deployment. Continuously optimise model performance, accuracy and scalability. Contribute to technical strategy, experimentation and product development. Take ownership of complex problems across data science, product and engineering domains. What We're Looking For Essential Experience Strong commercial experience in Data Science, Machine Learning or Applied AI roles. Hands-on experience working with time-series data and signal processing. Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets. Strong understanding of multivariate time-series modelling. Experience developing anomaly detection and behavioural baselining solutions. Ability to take machine learning solutions from research and experimentation into production environments. Experience solving complex problems through iteration, optimisation and experimentation. Strong coding and analytical skills. Ability to work autonomously within a fast-paced, highly collaborative environment. Previous experience within a start-up, scale-up or SME setting. Highly Desirable Experience working with smart watches, wearable health technology or IoT platforms. Exposure to low-latency or streaming inference architectures. Experience working within public safety, security, defence, healthcare or other regulated sectors. Why Join? Join a stealth-mode AI business with significant growth ambitions. Work on technology with genuine impact in public safety and law enforcement. Help build AI products from the ground up.
Jul 17, 2026
Full time
Data Scientist Salary: £60,000 - £90,000 + Equity Potential Location: London (Hybrid) Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) Help Build the Future of AI-Powered Public Safety We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. Build anomaly detection and behavioural baselining models. Translate raw telemetry streams into meaningful, actionable intelligence. Work with streaming and low-latency data architectures to support real-time decision making. Collaborate with software engineers and AI specialists to take solutions from research through to production deployment. Continuously optimise model performance, accuracy and scalability. Contribute to technical strategy, experimentation and product development. Take ownership of complex problems across data science, product and engineering domains. What We're Looking For Essential Experience Strong commercial experience in Data Science, Machine Learning or Applied AI roles. Hands-on experience working with time-series data and signal processing. Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets. Strong understanding of multivariate time-series modelling. Experience developing anomaly detection and behavioural baselining solutions. Ability to take machine learning solutions from research and experimentation into production environments. Experience solving complex problems through iteration, optimisation and experimentation. Strong coding and analytical skills. Ability to work autonomously within a fast-paced, highly collaborative environment. Previous experience within a start-up, scale-up or SME setting. Highly Desirable Experience working with smart watches, wearable health technology or IoT platforms. Exposure to low-latency or streaming inference architectures. Experience working within public safety, security, defence, healthcare or other regulated sectors. Why Join? Join a stealth-mode AI business with significant growth ambitions. Work on technology with genuine impact in public safety and law enforcement. Help build AI products from the ground up.
Data EngineerBristol Hybrid (3 Days Onsite) Salary + Benefits - £60,000 to £71,000 + 10% bonus, 33 days holiday, pension, healthCareer Progression + Modern Tech StackPyspark ML AI Databricks Kafka AWSAre you a Data Engineer with strong Python, SQL and PySpark skills who is looking for the opportunity to step up and accelerate your career?We're partnering with a market-leading technology business that is investing heavily in its data platform and is at the forefront of innovation within the smart housing sector. Processing billions of sensor readings every month, they're looking for a talented Data Engineer to join their growing team and help build the next generation of scalable data solutions.This opportunity is ideally suited to a mid-level Data Engineer who is ready to take on more responsibility, work on complex technical challenges, and gain exposure to cutting-edge technologies including Databricks, Kafka, Streaming, AI and Machine Learning.The OpportunityYou'll be joining a collaborative team of engineers and data specialists working on large-scale, real-time data platforms. This is a business that embraces new technologies and encourages engineers to learn, innovate and have a genuine impact on technical direction.You'll have the opportunity to: Build and optimise large-scale data pipelines Work with billions of data points generated from IoT devices Develop solutions using Python, SQL and PySpark Gain exposure to Databricks, Kafka and streaming technologies Contribute to Machine Learning and AI initiatives Work alongside Data Scientists and Software Engineers Influence architecture and engineering best practices Play a key role in exciting greenfield projects What We're Looking For Strong commercial experience as a Data Engineer Advanced Python and SQL skills Strong PySpark experience Experience building and maintaining scalable data pipelines Understanding of data modelling and database design principles Strong analytical and problem-solving capabilities Excellent communication and stakeholder engagement skills Degree in Computer Science, Mathematics, Statistics or a related discipline would be advantageous Desirable SkillsExperience with any of the following would be beneficial but not essential: Databricks Apache Kafka Real-time streaming technologies AWS services ClickHouse Infrastructure as Code CI/CD practices Why Join?This is more than just another Data Engineer role.It's an opportunity to join a business that genuinely invests in technology, learning and innovation. If you're looking for a company where you can progress into a senior position, develop expertise in modern big data technologies, and work on exciting AI and Machine Learning projects, this could be the perfect next step.If you're an ambitious Data Engineer with strong Python, SQL and PySpark skills and you're ready to take your career to the next level, we'd love to hear from you.
Jul 17, 2026
Full time
Data EngineerBristol Hybrid (3 Days Onsite) Salary + Benefits - £60,000 to £71,000 + 10% bonus, 33 days holiday, pension, healthCareer Progression + Modern Tech StackPyspark ML AI Databricks Kafka AWSAre you a Data Engineer with strong Python, SQL and PySpark skills who is looking for the opportunity to step up and accelerate your career?We're partnering with a market-leading technology business that is investing heavily in its data platform and is at the forefront of innovation within the smart housing sector. Processing billions of sensor readings every month, they're looking for a talented Data Engineer to join their growing team and help build the next generation of scalable data solutions.This opportunity is ideally suited to a mid-level Data Engineer who is ready to take on more responsibility, work on complex technical challenges, and gain exposure to cutting-edge technologies including Databricks, Kafka, Streaming, AI and Machine Learning.The OpportunityYou'll be joining a collaborative team of engineers and data specialists working on large-scale, real-time data platforms. This is a business that embraces new technologies and encourages engineers to learn, innovate and have a genuine impact on technical direction.You'll have the opportunity to: Build and optimise large-scale data pipelines Work with billions of data points generated from IoT devices Develop solutions using Python, SQL and PySpark Gain exposure to Databricks, Kafka and streaming technologies Contribute to Machine Learning and AI initiatives Work alongside Data Scientists and Software Engineers Influence architecture and engineering best practices Play a key role in exciting greenfield projects What We're Looking For Strong commercial experience as a Data Engineer Advanced Python and SQL skills Strong PySpark experience Experience building and maintaining scalable data pipelines Understanding of data modelling and database design principles Strong analytical and problem-solving capabilities Excellent communication and stakeholder engagement skills Degree in Computer Science, Mathematics, Statistics or a related discipline would be advantageous Desirable SkillsExperience with any of the following would be beneficial but not essential: Databricks Apache Kafka Real-time streaming technologies AWS services ClickHouse Infrastructure as Code CI/CD practices Why Join?This is more than just another Data Engineer role.It's an opportunity to join a business that genuinely invests in technology, learning and innovation. If you're looking for a company where you can progress into a senior position, develop expertise in modern big data technologies, and work on exciting AI and Machine Learning projects, this could be the perfect next step.If you're an ambitious Data Engineer with strong Python, SQL and PySpark skills and you're ready to take your career to the next level, we'd love to hear from you.
Join a leading UK Telecom & Media Innovator as a CRO Engineer. Job Overview: Role: CRO Engineer Location: Paddington - Sheldon Square Contract: end of August but likely to be another 6 months on this project. Pay Rates: Umbrella Rate: £600-650/day Work Mode (Hybrid): Wednesday and one other day Key Responsibilities: Senior Optimisation (CRO) Engineer We are looking for a 5+ year-experienced Senior Optimisation Engineer to work in our Optimisation team to help build out the web UI campaigns for our new services and applications.This is a role for an experienced web application developer (Angular framework) to optimise our current UI to achieve OKR's set by the business and improve our customer usage and enjoyment metrics. You will be a strong front-end coder with experience of working in experimentation, optimisation & personalisation. In this role you will be working with optimisation tools in an Agile squad, ultimately responsible for and further evolving the engineering quality, design, implementation, and operation of your product.You will work with business partners, engineers, data scientists, and UX designers to design, implement, test, deliver, and document complex applications, tools, systems and services. The must-haves: 5+ years of developing A/B / MVT optimisation experience campaigns Front end development experience in either REACT or Angular framework Proficiency knowledge in JavaScript, jQuery, Vanilla JS, CSS and HTML A passion for great online experience and an understanding of end-to-end user journeys and customer experience/CX Experience of automation testing to write regression tests Solid experience of website personalisation and audience targeting Solid experience of working with fully responsive websites Advanced understanding of Data analytics and Tag Manager (GTM) Nice to have: Experience of developing in TypeScript, JavaScript, Python or Java. Prior use of split testing platforms is preferable - Adobe Target, Optimizely, Google Optimize. A good understanding of design patterns, OOD, design and data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Jul 17, 2026
Contractor
Join a leading UK Telecom & Media Innovator as a CRO Engineer. Job Overview: Role: CRO Engineer Location: Paddington - Sheldon Square Contract: end of August but likely to be another 6 months on this project. Pay Rates: Umbrella Rate: £600-650/day Work Mode (Hybrid): Wednesday and one other day Key Responsibilities: Senior Optimisation (CRO) Engineer We are looking for a 5+ year-experienced Senior Optimisation Engineer to work in our Optimisation team to help build out the web UI campaigns for our new services and applications.This is a role for an experienced web application developer (Angular framework) to optimise our current UI to achieve OKR's set by the business and improve our customer usage and enjoyment metrics. You will be a strong front-end coder with experience of working in experimentation, optimisation & personalisation. In this role you will be working with optimisation tools in an Agile squad, ultimately responsible for and further evolving the engineering quality, design, implementation, and operation of your product.You will work with business partners, engineers, data scientists, and UX designers to design, implement, test, deliver, and document complex applications, tools, systems and services. The must-haves: 5+ years of developing A/B / MVT optimisation experience campaigns Front end development experience in either REACT or Angular framework Proficiency knowledge in JavaScript, jQuery, Vanilla JS, CSS and HTML A passion for great online experience and an understanding of end-to-end user journeys and customer experience/CX Experience of automation testing to write regression tests Solid experience of website personalisation and audience targeting Solid experience of working with fully responsive websites Advanced understanding of Data analytics and Tag Manager (GTM) Nice to have: Experience of developing in TypeScript, JavaScript, Python or Java. Prior use of split testing platforms is preferable - Adobe Target, Optimizely, Google Optimize. A good understanding of design patterns, OOD, design and data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of AI. Sitting at the heart of Sky's Group Architecture function, the AI architecture team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI. As an AI Solution Architect, you'll work alongside data scientists, product thinkers, and domain experts to shape the way Sky uses AI, Agents and large language models to unlock real value across the business. What you'll do Design Enterprise-Grade Solutions: Architect end-to-end systems using AI, Agent Frameworks and LLMs turning business problems into scalable, secure and performant technology blueprints. Partner Strategically: Engage with senior stakeholders across Sky to align AI capabilities with real commercial goals, applying your consulting mindset to shape strategic solutions. Bridge Tech and Business: Act as the connective tissue between engineering, data science, and business units ensuring clarity, alignment and momentum across the delivery lifecycle. Collaborate Cross Functionally: Work closely with developers, architects, project managers and data scientists to bring innovative AI products to life. Mitigate Risk by Design: Anticipate risks and embed security, compliance, and operational resilience into every solution from the ground up. Drive value and impact: steer business and engineering teams towards sustainable AI solutions that deliver real value for the business long term, avoiding duplication and tech debt. Document with Precision: Produce robust architectural documentation, data models, and specifications to guide successful implementation and handover. What you'll bring Proven experience architecting AI solutions in complex, enterprise environments especially involving Agentic, GenAI or LLM technologies. Strong working knowledge of cloud platforms (AWS, Azure, GCP) and their native AI tools and services. Background in consulting or business-facing solution design, with the ability to distil complex requirements into elegant cost-effective architectures. Programming experience and fluency with common AI/ML frameworks, services and deployment practices. Exceptional problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Excellent communication and stakeholder management skills; you're comfortable presenting to execs and collaborating across disciplines. A strategic, problem-solving mindset able to weigh technical trade-offs and drive high-value decisions Essential criteria: Strong solution architecture capability, including the ability to translate business problems into secure, scalable, resilient and cost-effective technology designs. Hands-on knowledge of at least one major cloud platform - AWS, Azure or GCP - including relevant AI, data, integration and deployment services. Desirable skills and experience: Experience with agentic AI patterns, orchestration frameworks, retrieval augmented generation, prompt engineering and responsible AI practices. Knowledge of data architecture, integration patterns, APIs, event-driven design and enterprise platforms used to connect AI solutions into production environments. Experience operating in agile delivery environments, supporting governance forums, architecture reviews and technical decision-making across multi-disciplinary teams. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office space: Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To find out more about working with us, search on social media.
Jul 17, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of AI. Sitting at the heart of Sky's Group Architecture function, the AI architecture team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI. As an AI Solution Architect, you'll work alongside data scientists, product thinkers, and domain experts to shape the way Sky uses AI, Agents and large language models to unlock real value across the business. What you'll do Design Enterprise-Grade Solutions: Architect end-to-end systems using AI, Agent Frameworks and LLMs turning business problems into scalable, secure and performant technology blueprints. Partner Strategically: Engage with senior stakeholders across Sky to align AI capabilities with real commercial goals, applying your consulting mindset to shape strategic solutions. Bridge Tech and Business: Act as the connective tissue between engineering, data science, and business units ensuring clarity, alignment and momentum across the delivery lifecycle. Collaborate Cross Functionally: Work closely with developers, architects, project managers and data scientists to bring innovative AI products to life. Mitigate Risk by Design: Anticipate risks and embed security, compliance, and operational resilience into every solution from the ground up. Drive value and impact: steer business and engineering teams towards sustainable AI solutions that deliver real value for the business long term, avoiding duplication and tech debt. Document with Precision: Produce robust architectural documentation, data models, and specifications to guide successful implementation and handover. What you'll bring Proven experience architecting AI solutions in complex, enterprise environments especially involving Agentic, GenAI or LLM technologies. Strong working knowledge of cloud platforms (AWS, Azure, GCP) and their native AI tools and services. Background in consulting or business-facing solution design, with the ability to distil complex requirements into elegant cost-effective architectures. Programming experience and fluency with common AI/ML frameworks, services and deployment practices. Exceptional problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Excellent communication and stakeholder management skills; you're comfortable presenting to execs and collaborating across disciplines. A strategic, problem-solving mindset able to weigh technical trade-offs and drive high-value decisions Essential criteria: Strong solution architecture capability, including the ability to translate business problems into secure, scalable, resilient and cost-effective technology designs. Hands-on knowledge of at least one major cloud platform - AWS, Azure or GCP - including relevant AI, data, integration and deployment services. Desirable skills and experience: Experience with agentic AI patterns, orchestration frameworks, retrieval augmented generation, prompt engineering and responsible AI practices. Knowledge of data architecture, integration patterns, APIs, event-driven design and enterprise platforms used to connect AI solutions into production environments. Experience operating in agile delivery environments, supporting governance forums, architecture reviews and technical decision-making across multi-disciplinary teams. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office space: Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To find out more about working with us, search on social media.
Applied Science Manager, Alexa International The Alexa International Science team is looking for a passionate, talented, and inventive Applied Science Manager with a strong background in speech models (understanding and generation) and deep learning, to lead a team building industry leading Generative AI technology with speech to speech models and multilingual systems. You will lead a team of Applied Scientists, drive cross team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions with broad impact across Alexa's global products. You will own programs with global visibility and interact with a cross functional group of Science, Product, and Engineering leaders. Your team's work will advance the state of the art in multilingual speech generation, text to speech synthesis, and speech to speech models, directly impacting customers across 20+ languages with natural, expressive, and locale appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large scale computing resources to accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast paced environment, tackle complex challenges in low resource language settings, and are able to influence and align multiple teams around a shared scientific vision. Core Leadership and Team Management Lead and manage applied scientists focused on multilingual speech generation and voice personality. Build and develop high performing science teams focused on speech synthesis, pronunciation, evaluation, and multilingual model adaptation. Set technical direction and raise the bar on scientific rigor, experimental methodology, and publication quality. Hire, mentor, and grow scientists at multiple levels. Cross Organizational Collaboration Partner with cross organizational stakeholders to align goals and accelerate delivery. Establish clear communication channels and workflows across organizational boundaries. Drive alignment between science roadmaps and product launch timelines across 20+ locales. Delivery and Execution Own end to end delivery of speech quality improvements from research through production deployment. Define success metrics and evaluation frameworks for multilingual speech quality. Balance long term research investments with near term launch commitments. Key Job Responsibilities Lead and manage a team of Applied and Data scientists responsible for building and enhancing capabilities for Alexa+. Collaborate with cross functional teams to build methods to align Amazon's LLMs with human preferences. Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. Mentor and guide team members to achieve their career goals and objectives. Communicate research findings and progress to senior leadership and stakeholders. Rapidly experiment and drive productisation to deliver customer impact. Drive academic partnership with top tier Indian university as part of the org's AI/ML Center initiative. Participate in and drive science publications in peer reviewed venues of repute. About the Team The Alexa International Science team drives multilingual AI quality for Alexa+, ensuring customers across all supported languages receive a natural, accurate, and culturally appropriate voice experience. We work at the intersection of speech science, LLMs, and international product launches. Basic Qualifications Experience directly managing scientists or machine learning engineers. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly scalable systems that involve predictive models or applications of machine learning. Preferred Qualifications Experience building machine learning models or developing algorithms for business application. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2026
Full time
Applied Science Manager, Alexa International The Alexa International Science team is looking for a passionate, talented, and inventive Applied Science Manager with a strong background in speech models (understanding and generation) and deep learning, to lead a team building industry leading Generative AI technology with speech to speech models and multilingual systems. You will lead a team of Applied Scientists, drive cross team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions with broad impact across Alexa's global products. You will own programs with global visibility and interact with a cross functional group of Science, Product, and Engineering leaders. Your team's work will advance the state of the art in multilingual speech generation, text to speech synthesis, and speech to speech models, directly impacting customers across 20+ languages with natural, expressive, and locale appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large scale computing resources to accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast paced environment, tackle complex challenges in low resource language settings, and are able to influence and align multiple teams around a shared scientific vision. Core Leadership and Team Management Lead and manage applied scientists focused on multilingual speech generation and voice personality. Build and develop high performing science teams focused on speech synthesis, pronunciation, evaluation, and multilingual model adaptation. Set technical direction and raise the bar on scientific rigor, experimental methodology, and publication quality. Hire, mentor, and grow scientists at multiple levels. Cross Organizational Collaboration Partner with cross organizational stakeholders to align goals and accelerate delivery. Establish clear communication channels and workflows across organizational boundaries. Drive alignment between science roadmaps and product launch timelines across 20+ locales. Delivery and Execution Own end to end delivery of speech quality improvements from research through production deployment. Define success metrics and evaluation frameworks for multilingual speech quality. Balance long term research investments with near term launch commitments. Key Job Responsibilities Lead and manage a team of Applied and Data scientists responsible for building and enhancing capabilities for Alexa+. Collaborate with cross functional teams to build methods to align Amazon's LLMs with human preferences. Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. Mentor and guide team members to achieve their career goals and objectives. Communicate research findings and progress to senior leadership and stakeholders. Rapidly experiment and drive productisation to deliver customer impact. Drive academic partnership with top tier Indian university as part of the org's AI/ML Center initiative. Participate in and drive science publications in peer reviewed venues of repute. About the Team The Alexa International Science team drives multilingual AI quality for Alexa+, ensuring customers across all supported languages receive a natural, accurate, and culturally appropriate voice experience. We work at the intersection of speech science, LLMs, and international product launches. Basic Qualifications Experience directly managing scientists or machine learning engineers. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly scalable systems that involve predictive models or applications of machine learning. Preferred Qualifications Experience building machine learning models or developing algorithms for business application. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in In Vitro Models of Early Development SALARY: from £39,500 per annum (depending on skills and experience) JOB TYPE: 2 Year Fixed-Term, Full-Time Contract About us The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. In this specific role, you will establish and maintain stem cell and blastoid culture systems that model key cell fate transitions during early human development. You will generate robust, reproducible biological systems that can be interrogated across molecular, cellular and structural scales, working closely with RFI experts in mass spectrometry, cryo-electron tomography, imaging, data science and AI. The appointee will ensure that these models are suitable for high-quality, multimodal data generation, enabling the identification of candidate molecular and structural determinants of cell fate decisions. They will also play a central role in closing the prediction validation loop: using computational predictions derived from these datasets to design, optimise and execute targeted validation experiments. More broadly, this role will help establish a biological testbed for understanding how cell fate is specified, maintained and redirected during early development. By linking stem cell and blastoid models with mass spectrometry, cryo-ET and AI-driven analysis, the work will contribute to the wider goal of building predictive, experimentally grounded models of how molecular organisation gives rise to cellular identity and developmental transitions. Key Responsibilities As a Research Associate you will: Take care of a stem cell line, including occasional weekend work. Learn and apply advanced research imaging techniques to understand the structural details of the stem cell line. Attend scientific seminars and meetings to keep up to date with developments in stem cell culture, use and imaging. Disseminate results through participating in the manuscript preparation process and presenting at scientific meetings. Contribute to the public engagement science programme of the Franklin. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 9th August 2026. Interviews will be held w/c 24th August 2026.
Jul 17, 2026
Contractor
Research Associate in In Vitro Models of Early Development SALARY: from £39,500 per annum (depending on skills and experience) JOB TYPE: 2 Year Fixed-Term, Full-Time Contract About us The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. In this specific role, you will establish and maintain stem cell and blastoid culture systems that model key cell fate transitions during early human development. You will generate robust, reproducible biological systems that can be interrogated across molecular, cellular and structural scales, working closely with RFI experts in mass spectrometry, cryo-electron tomography, imaging, data science and AI. The appointee will ensure that these models are suitable for high-quality, multimodal data generation, enabling the identification of candidate molecular and structural determinants of cell fate decisions. They will also play a central role in closing the prediction validation loop: using computational predictions derived from these datasets to design, optimise and execute targeted validation experiments. More broadly, this role will help establish a biological testbed for understanding how cell fate is specified, maintained and redirected during early development. By linking stem cell and blastoid models with mass spectrometry, cryo-ET and AI-driven analysis, the work will contribute to the wider goal of building predictive, experimentally grounded models of how molecular organisation gives rise to cellular identity and developmental transitions. Key Responsibilities As a Research Associate you will: Take care of a stem cell line, including occasional weekend work. Learn and apply advanced research imaging techniques to understand the structural details of the stem cell line. Attend scientific seminars and meetings to keep up to date with developments in stem cell culture, use and imaging. Disseminate results through participating in the manuscript preparation process and presenting at scientific meetings. Contribute to the public engagement science programme of the Franklin. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 9th August 2026. Interviews will be held w/c 24th August 2026.
Applied Sciences Manager , Ads Brand Safety and Suitability Job ID: Amazon Development Centre (London) Limited Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low quality, deceptive, AI generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM powered classification and semantic understanding, real time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI generated and synthetic content detection, and large scale abusive content system identification and disruption. You will define how modern AI separates high quality advertising inventory from unsafe, unsuitable, and policy violating content - across web, mobile app, CTV, and audio surfaces. Key Job Responsibilities Vision, Strategy & Roadmap Develop the vision, charter, and long term strategy for Applied Science solutions that enhance critical parts of the contextual ads product. Drive the strategy and technical roadmap for LLM and ML based classification systems. Keep updated on the industry landscape in contextual advertising and identify algorithm investments to achieve industry leading solutions. Team Leadership & Talent Development Lead a cross functional team of Applied Scientists and SDEs; grow a high performing Applied Science team focused on Brand Safety and AI driven risk intelligence. Hire, develop, and mentor senior scientists; accelerate the pace of innovation in the group. Build a culture of innovation, scientific rigor, velocity, and long term thinking. Technical Execution & Delivery Drive end to end delivery - from research and experimentation through production deployment at billions of classifications per day. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Use machine learning and statistical techniques to create new, scalable solutions. Innovation & Frontier Research Push the boundaries of multimodal understanding, semantic reasoning, and adaptive learning systems. Build proactive detection and risk hunting capabilities for emerging abuse trends. Continuously learn about new developments in ML and AI; identify how these can be rolled into building industry leading solutions for Amazon Advertising. Organizational Influence & Cross Functional Partnership Influence org wide GenAI strategy; represent the team's technical direction to senior leadership. Partner closely with Product, Policy, Ads Quality, and Infrastructure teams to operationalize AI at scale. Work proactively with engineering teams and product managers to evangelize new algorithms and drive implementation of large scale complex ML models in production. Business Impact & Thought Leadership Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Showcase innovation via peer reviewed publications and whitepapers. Basic Qualifications Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD Experience managing science teams Experience developing, deploying and managing AI products at scale Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization Experience working with technical and business stakeholders from global cross functional teams Experience in leading large scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion Preferred Qualifications Experience in applied research Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Jul 17, 2026
Full time
Applied Sciences Manager , Ads Brand Safety and Suitability Job ID: Amazon Development Centre (London) Limited Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low quality, deceptive, AI generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM powered classification and semantic understanding, real time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI generated and synthetic content detection, and large scale abusive content system identification and disruption. You will define how modern AI separates high quality advertising inventory from unsafe, unsuitable, and policy violating content - across web, mobile app, CTV, and audio surfaces. Key Job Responsibilities Vision, Strategy & Roadmap Develop the vision, charter, and long term strategy for Applied Science solutions that enhance critical parts of the contextual ads product. Drive the strategy and technical roadmap for LLM and ML based classification systems. Keep updated on the industry landscape in contextual advertising and identify algorithm investments to achieve industry leading solutions. Team Leadership & Talent Development Lead a cross functional team of Applied Scientists and SDEs; grow a high performing Applied Science team focused on Brand Safety and AI driven risk intelligence. Hire, develop, and mentor senior scientists; accelerate the pace of innovation in the group. Build a culture of innovation, scientific rigor, velocity, and long term thinking. Technical Execution & Delivery Drive end to end delivery - from research and experimentation through production deployment at billions of classifications per day. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Use machine learning and statistical techniques to create new, scalable solutions. Innovation & Frontier Research Push the boundaries of multimodal understanding, semantic reasoning, and adaptive learning systems. Build proactive detection and risk hunting capabilities for emerging abuse trends. Continuously learn about new developments in ML and AI; identify how these can be rolled into building industry leading solutions for Amazon Advertising. Organizational Influence & Cross Functional Partnership Influence org wide GenAI strategy; represent the team's technical direction to senior leadership. Partner closely with Product, Policy, Ads Quality, and Infrastructure teams to operationalize AI at scale. Work proactively with engineering teams and product managers to evangelize new algorithms and drive implementation of large scale complex ML models in production. Business Impact & Thought Leadership Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Showcase innovation via peer reviewed publications and whitepapers. Basic Qualifications Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD Experience managing science teams Experience developing, deploying and managing AI products at scale Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization Experience working with technical and business stakeholders from global cross functional teams Experience in leading large scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion Preferred Qualifications Experience in applied research Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AstraZeneca is seeking a Principal Health Informatics Scientist to contribute to real-world evidence generation and observational research. This role involves driving strategies for healthcare data analytics, supporting studies, and overseeing projects across healthcare settings. The ideal candidate will have strong expertise in EMR, health IT, and data analytics, alongside a PhD in the relevant field. A competitive salary and flexible benefits are offered.
Jul 16, 2026
Full time
AstraZeneca is seeking a Principal Health Informatics Scientist to contribute to real-world evidence generation and observational research. This role involves driving strategies for healthcare data analytics, supporting studies, and overseeing projects across healthcare settings. The ideal candidate will have strong expertise in EMR, health IT, and data analytics, alongside a PhD in the relevant field. A competitive salary and flexible benefits are offered.
The opportunity Substrate is building the molecular characterisation cascade that turns purified protein into trustworthy, quality-controlled, biophysically characterised data at scale, and you will build it from the first manual run. This is the work downstream of protein production and upstream of functional assays: quality control, binding, stability, and developability, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the heart of the protein characterisation work. The role You will build the molecular characterisation cascade that sits downstream of protein production and upstream of functional assays: the biophysical, analytical, and developability assays that decide what each molecule is and whether it holds up. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each assay by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each assay out before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. Every level works directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution. We are hiring across three levels: Principal Scientists own a slice of the assay menu end to end: scoping, designing the manual protocol, validating it to acceptance thresholds, authoring the SOPs that translate into automation design, and seeing it through to automated execution. Scientists work alongside Principal Scientists at the bench, executing the experiments, contributing to validation work, and growing into protocol authorship over the first year. Lab Technicians are the hands on execution layer: following established SOPs, preparing reagents and consumables, maintaining equipment, and running routine steps of validated protocols so that Scientists and Principal Scientists can focus on design and troubleshooting. What you will do in your first twelve months Phase 0 - Now to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority characterisation assays as the day one menu locks. Start building QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) readouts. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Develop and validate a QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) workflow, first manually and then in a semi automated state, running at a scale of hundreds to a thousand samples per week and ready for full automation. Begin development of a developability package (HIC, heparin binding, AC SINS, and similar), with assay design guided primarily by downstream automation compatibility. Co design protocols with the software and automation engineering teams so the manual versions you validate are automation ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Contribute to co design conversations with the first commercial customers, including the foundation model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, validating, an running biophysical and developability assays at the bench. You are comfortable in the details. You have hands on experience collecting and analysing binding kinetics and affinity data, and assessing the developability of biologics. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. We are hiring across three tiers: Lab Technician, Scientist, and Principal Scientist. The work is hands on bench science at all levels, with collaboration into automation and software; the difference is depth of ownership, design authority, and responsibility. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have - All Three Tiers Hands on experience with biophysical and/or analytical instrumentation for protein characterisation. Comfortable executing assays in a high throughput format through manual, semi automated, and instrumented phases. A track record of working alongside non scientist colleagues (automation, software, computational) on a shared workflow. Must Have - Lab Technician Relevant hands on lab experience, including apprenticeships or technician roles, is the primary consideration. Comfortable following written SOPs precisely and flagging deviations. You do not need to design experiments, but you do need to execute them reliably and communicate clearly when something looks off. Hands on familiarity with basic wet lab technique: accurate pipetting, buffer and reagent preparation, sample handling, plate setup, and instrument use. Exposure to plate readers, chromatography systems (HPLC), biophysical instruments (nanoDSF, DLS, SPR/BLI), or semi automated workflows (plate based liquid handlers) is helpful but not required. Comfortable in a fast paced, early stage environment where protocols are still being written. You are methodical, safety conscious, and do not take shortcuts. Aware of structured experimental data capture, and able to use a LIMS, ELN, or analogous infrastructure. Must Have - Scientist A PhD in protein biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands on experience; or an MSc with five years of experience in the same area. Independent, hands on competence on at least one biophysical binding platform (SPR or BLI), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC SINS, cIEF, or PAIA). Some exposure to one or more of these areas at high throughput (96 and 384 well plate formats). Confident data analysis: kinetics fitting and interpretation, and telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Must Have - Principal Scientist A PhD in protein biochemistry, biophysics, analytical characterisation, or biologics developability, with five or more years of relevant hands on experience (at least two in industry); or a relevant science MSc with eight years of equivalent bench experience in protein science (at least two in industry). Independent, extensive experience with biologics characterisation workflows across at least three core areas, such as full SPR/BLI kinetics, epitope binning, immunoassay (ELISA)-based assays, thermal and colloidal stability characterisation (nanoDSF, DLS, SLS . click apply for full job details
Jul 16, 2026
Full time
The opportunity Substrate is building the molecular characterisation cascade that turns purified protein into trustworthy, quality-controlled, biophysically characterised data at scale, and you will build it from the first manual run. This is the work downstream of protein production and upstream of functional assays: quality control, binding, stability, and developability, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the heart of the protein characterisation work. The role You will build the molecular characterisation cascade that sits downstream of protein production and upstream of functional assays: the biophysical, analytical, and developability assays that decide what each molecule is and whether it holds up. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each assay by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each assay out before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. Every level works directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution. We are hiring across three levels: Principal Scientists own a slice of the assay menu end to end: scoping, designing the manual protocol, validating it to acceptance thresholds, authoring the SOPs that translate into automation design, and seeing it through to automated execution. Scientists work alongside Principal Scientists at the bench, executing the experiments, contributing to validation work, and growing into protocol authorship over the first year. Lab Technicians are the hands on execution layer: following established SOPs, preparing reagents and consumables, maintaining equipment, and running routine steps of validated protocols so that Scientists and Principal Scientists can focus on design and troubleshooting. What you will do in your first twelve months Phase 0 - Now to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority characterisation assays as the day one menu locks. Start building QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) readouts. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Develop and validate a QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) workflow, first manually and then in a semi automated state, running at a scale of hundreds to a thousand samples per week and ready for full automation. Begin development of a developability package (HIC, heparin binding, AC SINS, and similar), with assay design guided primarily by downstream automation compatibility. Co design protocols with the software and automation engineering teams so the manual versions you validate are automation ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Contribute to co design conversations with the first commercial customers, including the foundation model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, validating, an running biophysical and developability assays at the bench. You are comfortable in the details. You have hands on experience collecting and analysing binding kinetics and affinity data, and assessing the developability of biologics. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. We are hiring across three tiers: Lab Technician, Scientist, and Principal Scientist. The work is hands on bench science at all levels, with collaboration into automation and software; the difference is depth of ownership, design authority, and responsibility. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have - All Three Tiers Hands on experience with biophysical and/or analytical instrumentation for protein characterisation. Comfortable executing assays in a high throughput format through manual, semi automated, and instrumented phases. A track record of working alongside non scientist colleagues (automation, software, computational) on a shared workflow. Must Have - Lab Technician Relevant hands on lab experience, including apprenticeships or technician roles, is the primary consideration. Comfortable following written SOPs precisely and flagging deviations. You do not need to design experiments, but you do need to execute them reliably and communicate clearly when something looks off. Hands on familiarity with basic wet lab technique: accurate pipetting, buffer and reagent preparation, sample handling, plate setup, and instrument use. Exposure to plate readers, chromatography systems (HPLC), biophysical instruments (nanoDSF, DLS, SPR/BLI), or semi automated workflows (plate based liquid handlers) is helpful but not required. Comfortable in a fast paced, early stage environment where protocols are still being written. You are methodical, safety conscious, and do not take shortcuts. Aware of structured experimental data capture, and able to use a LIMS, ELN, or analogous infrastructure. Must Have - Scientist A PhD in protein biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands on experience; or an MSc with five years of experience in the same area. Independent, hands on competence on at least one biophysical binding platform (SPR or BLI), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC SINS, cIEF, or PAIA). Some exposure to one or more of these areas at high throughput (96 and 384 well plate formats). Confident data analysis: kinetics fitting and interpretation, and telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Must Have - Principal Scientist A PhD in protein biochemistry, biophysics, analytical characterisation, or biologics developability, with five or more years of relevant hands on experience (at least two in industry); or a relevant science MSc with eight years of equivalent bench experience in protein science (at least two in industry). Independent, extensive experience with biologics characterisation workflows across at least three core areas, such as full SPR/BLI kinetics, epitope binning, immunoassay (ELISA)-based assays, thermal and colloidal stability characterisation (nanoDSF, DLS, SLS . click apply for full job details
hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. Are you passionate about shaping exceptional user experiences that truly meet customer needs? Do you want to lead design strategy and inspire cross-functional teams to deliver innovative, data-driven solutions? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( ). About the Role As a Senior UX Designer I, you will lead the design strategy for a product or business line, ensuring solutions are grounded in user needs and supported by data. You will collaborate with cross-functional teams to shape innovative, user-centered experiences while mentoring other designers and influencing product direction. Responsibilities Lead the design strategy for a business or product line Demonstrate a solid understanding of customer use cases Rally cross-functional teams around customer needs Advocate for customers with the agile team and inspire curiosity about user insights Involve customers in product innovation to deliver value and growth Apply mastery of user-centered design processes Work with UX Researchers to understand user needs and proactively use insights Use data and analytics to establish key metrics and inform design decisions Requirements Take ownership of personal development and career growth Initiate regular conversations with manager, coach or mentor regarding self-development Ask effective questions and gather insights from multiple sources to solve problems Identify and analyze problems, proposing practical solutions Develop ideas to improve processes or products and prepare implementation plans Communicate clearly and provide direction to others Encourage collaboration and cooperation across teams Build strong working relationships and treat all individuals with respect Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. 1 We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Jul 16, 2026
Full time
hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. Are you passionate about shaping exceptional user experiences that truly meet customer needs? Do you want to lead design strategy and inspire cross-functional teams to deliver innovative, data-driven solutions? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( ). About the Role As a Senior UX Designer I, you will lead the design strategy for a product or business line, ensuring solutions are grounded in user needs and supported by data. You will collaborate with cross-functional teams to shape innovative, user-centered experiences while mentoring other designers and influencing product direction. Responsibilities Lead the design strategy for a business or product line Demonstrate a solid understanding of customer use cases Rally cross-functional teams around customer needs Advocate for customers with the agile team and inspire curiosity about user insights Involve customers in product innovation to deliver value and growth Apply mastery of user-centered design processes Work with UX Researchers to understand user needs and proactively use insights Use data and analytics to establish key metrics and inform design decisions Requirements Take ownership of personal development and career growth Initiate regular conversations with manager, coach or mentor regarding self-development Ask effective questions and gather insights from multiple sources to solve problems Identify and analyze problems, proposing practical solutions Develop ideas to improve processes or products and prepare implementation plans Communicate clearly and provide direction to others Encourage collaboration and cooperation across teams Build strong working relationships and treat all individuals with respect Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. 1 We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Head of FundraisingApplylocations: Wallingford: Lancaster: Edinburgh: Bangortime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: September 12, 2026 (30+ days left to apply)job requisition id: JR1529Salary - £63,978 to £67,894 Permanent, flexible and Hybrid (50/50) Locations: Wallingford or London (preferred), or Edinburgh, Lancaster or Bangor. Closing date for applications: 11 September 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet.We're looking for an experienced Head of Fundraising to design, launch and grow a brand-new function, leading an ambitious £50m campaign that will power science tackling some of the most urgent challenges facing people and the planet. This is a rare opportunity to shape strategy from day one, build the foundations for long-term success, and create lasting impact at scale.Working across UKCEH, you'll collaborate with diverse stakeholders while championing a clear, inspiring vision. You'll define and deliver a compelling fundraising approach, putting in place the governance, systems and capability needed to thrive.We're seeking a creative and outward-facing leader who excels at building meaningful relationships with high-value supporters, from major donors to corporate partners. You'll bring our science to life, crafting powerful stories that resonate, inspire, and unlock transformational support. Why this role matters Environmental science has never been more important. UKCEH's data, models and insight shape national and global understanding of biodiversity loss, water security, climate resilience and sustainable land use. Philanthropy, corporate partnership and crowdfunding will now play a defining role in extending that impact. Your main responsibilities will include: Create UKCEH's first fundraising programme, taking the first steps we have been putting in place to build the strategy, systems, culture and team needed for long term success. Work in close partnership with our communications and business development teams, our Chair and Board of Trustees and our brilliant scientists and innovators, ensuring fundraising is fully aligned with organisational ambition, external engagement, and UKCEH's Case for Support. Lead a major, multi year fundraising campaign, supported by an influential Campaign Planning Group that is already formed and active. Inspire high value supporters, from philanthropists and foundations to global corporates and mission aligned partners as well as inspiring the public to support e.g., our citizen science. Shape compelling narratives and Cases for Support, turning complex science into powerful, fundable stories. Establish the governance and capability to ensure the programme becomes self sustaining by 2028. Confidently track and deliver against Return on Investment targetsWhat we're looking for: A track record of securing major gifts, including six and seven figure commitments. Experience shaping or building a fundraising programme and team - ideally from inception. Credibility and confidence engaging at the highest levels with HNWI donors, foundations, corporates and senior volunteers. Strategic vision matched with roll your sleeves up delivery. An entrepreneurial mindset and the resilience to create momentum in a complex environment. A passion and understanding of environmental impact and the science and innovation that drives it. Travel across the UK, particularly to London, will be required; occasional international travel may occur.How to apply and what happens nextIf you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Once submitted, our panel will review your application, and please be assured that we are committed to providing an outcome for all applicants, regardless of the result.Q1 - What is a fundraising achievement you are most proud of, and what impact did it have?Q2 - How do you approach developing and delivering a successful fundraising strategy?Q3 - How do you build and maintain effective relationships with high-value stakeholders, such as major donors, corporate partners, or sponsors? Next Steps: We recognise this is a longer advertising window, and we appreciate the time you'll take to consider and apply for this opportunity.While we may wait until the closing date before making any formal decisions, we may get in touch with some applicants ahead of this to better understand your experience, motivations and current circumstances.Following the closing date, we will begin shortlisting during the week commencing 14 September. We are planning initial conversations with shortlisted candidates on 21 September, with formal interviews expected to take place from around 5 October.Please note that these timelines are indicative and may flex slightly depending on application volumes and availability. Working at UKCEH is genuinely rewarding You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment.What we offerAt UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel.Please note: Unfortunately, we are unable to offer visa sponsorship for this role. However, this position may qualify for endorsement to support a Global Talent Visa application. Additionally, if you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process.
Jul 16, 2026
Full time
Head of FundraisingApplylocations: Wallingford: Lancaster: Edinburgh: Bangortime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: September 12, 2026 (30+ days left to apply)job requisition id: JR1529Salary - £63,978 to £67,894 Permanent, flexible and Hybrid (50/50) Locations: Wallingford or London (preferred), or Edinburgh, Lancaster or Bangor. Closing date for applications: 11 September 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet.We're looking for an experienced Head of Fundraising to design, launch and grow a brand-new function, leading an ambitious £50m campaign that will power science tackling some of the most urgent challenges facing people and the planet. This is a rare opportunity to shape strategy from day one, build the foundations for long-term success, and create lasting impact at scale.Working across UKCEH, you'll collaborate with diverse stakeholders while championing a clear, inspiring vision. You'll define and deliver a compelling fundraising approach, putting in place the governance, systems and capability needed to thrive.We're seeking a creative and outward-facing leader who excels at building meaningful relationships with high-value supporters, from major donors to corporate partners. You'll bring our science to life, crafting powerful stories that resonate, inspire, and unlock transformational support. Why this role matters Environmental science has never been more important. UKCEH's data, models and insight shape national and global understanding of biodiversity loss, water security, climate resilience and sustainable land use. Philanthropy, corporate partnership and crowdfunding will now play a defining role in extending that impact. Your main responsibilities will include: Create UKCEH's first fundraising programme, taking the first steps we have been putting in place to build the strategy, systems, culture and team needed for long term success. Work in close partnership with our communications and business development teams, our Chair and Board of Trustees and our brilliant scientists and innovators, ensuring fundraising is fully aligned with organisational ambition, external engagement, and UKCEH's Case for Support. Lead a major, multi year fundraising campaign, supported by an influential Campaign Planning Group that is already formed and active. Inspire high value supporters, from philanthropists and foundations to global corporates and mission aligned partners as well as inspiring the public to support e.g., our citizen science. Shape compelling narratives and Cases for Support, turning complex science into powerful, fundable stories. Establish the governance and capability to ensure the programme becomes self sustaining by 2028. Confidently track and deliver against Return on Investment targetsWhat we're looking for: A track record of securing major gifts, including six and seven figure commitments. Experience shaping or building a fundraising programme and team - ideally from inception. Credibility and confidence engaging at the highest levels with HNWI donors, foundations, corporates and senior volunteers. Strategic vision matched with roll your sleeves up delivery. An entrepreneurial mindset and the resilience to create momentum in a complex environment. A passion and understanding of environmental impact and the science and innovation that drives it. Travel across the UK, particularly to London, will be required; occasional international travel may occur.How to apply and what happens nextIf you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Once submitted, our panel will review your application, and please be assured that we are committed to providing an outcome for all applicants, regardless of the result.Q1 - What is a fundraising achievement you are most proud of, and what impact did it have?Q2 - How do you approach developing and delivering a successful fundraising strategy?Q3 - How do you build and maintain effective relationships with high-value stakeholders, such as major donors, corporate partners, or sponsors? Next Steps: We recognise this is a longer advertising window, and we appreciate the time you'll take to consider and apply for this opportunity.While we may wait until the closing date before making any formal decisions, we may get in touch with some applicants ahead of this to better understand your experience, motivations and current circumstances.Following the closing date, we will begin shortlisting during the week commencing 14 September. We are planning initial conversations with shortlisted candidates on 21 September, with formal interviews expected to take place from around 5 October.Please note that these timelines are indicative and may flex slightly depending on application volumes and availability. Working at UKCEH is genuinely rewarding You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment.What we offerAt UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel.Please note: Unfortunately, we are unable to offer visa sponsorship for this role. However, this position may qualify for endorsement to support a Global Talent Visa application. Additionally, if you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process.
Are you an experienced Staff Computational Chemist with a passion for designing real molecules and seeing them made within days, not months? Do you thrive at the intersection of CADD, AI-driven design, and automation? This is a rare opportunity to join a pioneering deep-tech company where your work directly shapes the future of drug discovery. We are looking for a Staff CADD Scientist to take ownership of computational strategy, integrating cutting edge simulation and machine learning into a platform that closes the design-make-test loop at unprecedented speed. The Employer Our client is a Series B deep tech company transforming chemical discovery by combining AI, robotics, and the largest ever growing database of chemical programs. Their state of the art robotic facility in Glasgow provides a high throughput bridge from in silico models to physically synthesised compounds, giving scientists a unique ability to turn design into reality faster than traditional pharma methods. With a San Francisco base (hybrid) and UK site, this is an ambitious, impact driven environment at the forefront of AI and chemistry. Qualifications & Experience PhD (or equivalent) in Computational Chemistry, Structural Biology, Biophysics, Physics, or related discipline. 8+ years hands on experience in CADD for small molecule drug discovery, including strategy ownership and delivery. Expertise across structure and ligand based design plus proficiency with MOE, OpenMM/GROMACS/AMBER, PyMOL. Strong Python skills and experience with cheminformatics toolkits (RDKit, OpenEye), GPU accelerated workflows, and cloud/HPC. Familiarity with modern ML for molecular design (GNNs, generative models) and understanding of when they complement traditional methods. Proven leadership and experience presenting complex computational reasoning to chemists and partners. Responsibilities You will: Lead computational strategy on drug discovery programmes from hit discovery through lead optimisation. Design and prioritise molecules for synthesis; partner with chemists on SAR driven hypotheses and MPO. Apply CADD methods, docking, pharmacophore, shape and 3D similarity, MD, FEP, QSAR, blending physics and ML based approaches. Help develop a reproducible, API driven computational platform and cost efficient GPU/HPC pipelines. Mentor junior scientists, influence hiring, and represent the business externally across conferences and partnerships. Skills / Technical Competencies Advanced command of ligand and structure based design workflows. Proficiency with CADD toolkits, molecular dynamics, and QSAR. Strong programming in Python, cheminformatics libraries, and experience with production level pipelines. Cloud/HPC workflow management and GPU acceleration. Nice to Haves: Hands on FEP experience (FEP+, OpenFE). Practical use of generative chemistry models and active learning in iterative design loops. Experience integrating CADD tools into API first platforms and MLOps environments. Contributions to peer reviewed publications or open source projects in CADD.
Jul 16, 2026
Full time
Are you an experienced Staff Computational Chemist with a passion for designing real molecules and seeing them made within days, not months? Do you thrive at the intersection of CADD, AI-driven design, and automation? This is a rare opportunity to join a pioneering deep-tech company where your work directly shapes the future of drug discovery. We are looking for a Staff CADD Scientist to take ownership of computational strategy, integrating cutting edge simulation and machine learning into a platform that closes the design-make-test loop at unprecedented speed. The Employer Our client is a Series B deep tech company transforming chemical discovery by combining AI, robotics, and the largest ever growing database of chemical programs. Their state of the art robotic facility in Glasgow provides a high throughput bridge from in silico models to physically synthesised compounds, giving scientists a unique ability to turn design into reality faster than traditional pharma methods. With a San Francisco base (hybrid) and UK site, this is an ambitious, impact driven environment at the forefront of AI and chemistry. Qualifications & Experience PhD (or equivalent) in Computational Chemistry, Structural Biology, Biophysics, Physics, or related discipline. 8+ years hands on experience in CADD for small molecule drug discovery, including strategy ownership and delivery. Expertise across structure and ligand based design plus proficiency with MOE, OpenMM/GROMACS/AMBER, PyMOL. Strong Python skills and experience with cheminformatics toolkits (RDKit, OpenEye), GPU accelerated workflows, and cloud/HPC. Familiarity with modern ML for molecular design (GNNs, generative models) and understanding of when they complement traditional methods. Proven leadership and experience presenting complex computational reasoning to chemists and partners. Responsibilities You will: Lead computational strategy on drug discovery programmes from hit discovery through lead optimisation. Design and prioritise molecules for synthesis; partner with chemists on SAR driven hypotheses and MPO. Apply CADD methods, docking, pharmacophore, shape and 3D similarity, MD, FEP, QSAR, blending physics and ML based approaches. Help develop a reproducible, API driven computational platform and cost efficient GPU/HPC pipelines. Mentor junior scientists, influence hiring, and represent the business externally across conferences and partnerships. Skills / Technical Competencies Advanced command of ligand and structure based design workflows. Proficiency with CADD toolkits, molecular dynamics, and QSAR. Strong programming in Python, cheminformatics libraries, and experience with production level pipelines. Cloud/HPC workflow management and GPU acceleration. Nice to Haves: Hands on FEP experience (FEP+, OpenFE). Practical use of generative chemistry models and active learning in iterative design loops. Experience integrating CADD tools into API first platforms and MLOps environments. Contributions to peer reviewed publications or open source projects in CADD.
Location: Cambridge, United Kingdom Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca Location: Cambridge, United Kingdom Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca As a Principal Health Informatics Scientist you will work closely with primary stakeholders within the Medical Evidence & Observational Research team, driving and accelerating delivery of technical capabilities to supporting evidence generation and studies. You will assist the due diligence on new data providers/vendors to advance AZ Real World Evidence (RWE) data maturity, help shape the right RWE data strategy for a range of Therapeutic Areas and provide informatics support for data acquisitions. You will also serve as a supportive member of the observational study team to support real-world observational studies. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in both Public Health, Pharmaceutical Research and Development and Commercial context. Hands on experience with working with real world datasets is essential. Experience working in Oncology is desirable. The role provides hands on expertise, task management and support to Informaticians/Information Scientists, promoting best practice across multiple domains, and/or stakeholder groups. The salary is competitive and there are a full range of flexible benefits. Essential skills and background PhD in medical informatics or other advanced degree in life sciences with post doctoral or other training/work in Medical Informatics or related field Expertise in EMR/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills are required, together technical skills in either R or SAS. Experience in advanced visualisation and visual analytics of routinely collected healthcare data Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling Strong track record in delivering leading edge informatics solutions in pharmaceutical R&D and commercial environments Desireable skills A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies Demonstrated ability to build long term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value Ability to lead & manage multi-disciplinary health informatics projects Strong track record of delivering large, cross functional projects Experience working in a global organization and delivering global solutions Knowledge of Oncology Therapy Area is desirable Previous technical experience with MATLAB and / or Python would be an advantage.
Jul 15, 2026
Full time
Location: Cambridge, United Kingdom Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca Location: Cambridge, United Kingdom Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca As a Principal Health Informatics Scientist you will work closely with primary stakeholders within the Medical Evidence & Observational Research team, driving and accelerating delivery of technical capabilities to supporting evidence generation and studies. You will assist the due diligence on new data providers/vendors to advance AZ Real World Evidence (RWE) data maturity, help shape the right RWE data strategy for a range of Therapeutic Areas and provide informatics support for data acquisitions. You will also serve as a supportive member of the observational study team to support real-world observational studies. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in both Public Health, Pharmaceutical Research and Development and Commercial context. Hands on experience with working with real world datasets is essential. Experience working in Oncology is desirable. The role provides hands on expertise, task management and support to Informaticians/Information Scientists, promoting best practice across multiple domains, and/or stakeholder groups. The salary is competitive and there are a full range of flexible benefits. Essential skills and background PhD in medical informatics or other advanced degree in life sciences with post doctoral or other training/work in Medical Informatics or related field Expertise in EMR/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills are required, together technical skills in either R or SAS. Experience in advanced visualisation and visual analytics of routinely collected healthcare data Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling Strong track record in delivering leading edge informatics solutions in pharmaceutical R&D and commercial environments Desireable skills A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies Demonstrated ability to build long term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value Ability to lead & manage multi-disciplinary health informatics projects Strong track record of delivering large, cross functional projects Experience working in a global organization and delivering global solutions Knowledge of Oncology Therapy Area is desirable Previous technical experience with MATLAB and / or Python would be an advantage.
The opportunity The researchers, data scientists, and ML engineers driving AI-driven biological discovery do not yet know Substrate exists. The Community Manager is the person who will change that. This is Substrate's first dedicated community hire. You will build from scratch: the relationships, the channels, the content, the events, and the feedback loops that turn a network of interested researchers into an active, technically engaged community. You will be the external face of Substrate to the AI x biology research world, and the voice of that world inside Substrate. About Substrate Substrate is building and operating a network of fully autonomous wet laboratories. We are the critical infrastructure layer for AI-driven biological discovery: cloud-based data production facilities, tightly integrated with AI foundation models, that make high-quality experimental biology as accessible as compute. We are a small team, four co-founders and a founding hire class now building out, with venture funding and government grants, opening our first node in London and a second node in San Francisco in parallel. The work is hard and the timeline is compressed. We have two scientific verticals live (protein characterisation and functional genomics), a software platform that connects API calls to automated assay execution, and a commercial pipeline that spans foundation model labs, AI biotechs, pharmaceutical companies, and publicly funded research organisations. We are growing to roughly thirty people by early 2027. The role You will own Substrate's community function end to end. The immediate priority is establishing Substrate's presence in the communities where our most important potential users and customers already spend time: AI-biology conferences, academic research groups, frontier AI lab developer communities, and the broader open-science data ecosystem. The obvious operational pieces are real and important: building and managing Substrate's community channels, creating content (technical posts, case studies, event recaps) that demonstrates what the platform can do, representing Substrate at conferences and research events, and tracking engagement in ways that help the commercial, product and science teams make decisions. Two parts of the role are less standard, and they are why this hire matters so much to Substrate's success. The first is technical credibility. Substrate's community spans researchers who publish in leading journals and engineers who build training pipelines for frontier models. Community management here is not event coordination and social media scheduling; it is substantive engagement with people who will interrogate the science, the data quality, and the integration architecture. The Community Manager needs to be able to meet them there. The second is commercial adjacency. Community at Substrate is not a brand exercise. The relationships built through community will directly feed the commercial pipeline, inform pricing and product decisions, and define which customer segments Substrate chooses to serve deeply. You will work closely with Anna, co-founder, who leads partnerships and go-to-market, and you will operate as a genuine commercial, product and science partner. What you will do in your first twelve months FIRST 90 DAYS JUL TO SEP 2026 Map the existing relationships the founding team holds across research institutions, frontier AI labs, pharma and Ai-native biotechs, and the AI-biotech community; understand which are most relevant to a community-first strategy. Establish Substrate's presence on the channels where the AI x biology research community spends time: a newsletter, relevant online communities, forums, podcasts, and a cadence for conference participation. Publish Substrate's first substantive technical community content: a post or article that demonstrates what the platform does and why it matters to researchers doing AI-driven biology. Identify the ten to fifteen research groups, labs, or organisations that should be Substrate's first community anchor relationships, and begin active outreach and relationship building. MONTHS 4 TO 8 OCT 2026 TO FEB 2027 Build and manage an active community presence around the London node opening: coordinate the launch event, manage researcher outreach, and produce the content that captures what Substrate's first operational period looks like. Establish a structured feedback loop between the community and the product and science teams, so that what researchers ask for and struggle with reaches the people who can act on it. Build the San Francisco community presence in parallel: identify the key organisations, events, and channels in the Bay Area AI-biology ecosystem and establish Substrate's footprint there. Develop a content calendar and production cadence that does not depend on the founding team's time to sustain. Refine the community infrastructure: channel selection, moderation policy, engagement metrics, and reporting to the commercial and product teams. MONTHS 9 TO 12 MAR TO JUN 2027 Build the community to a size and engagement level where it is a measurable input to commercial pipeline: researcher referrals, inbound interest driven by community content, and a clear record of which community relationships have become or are likely to become commercial relationships. Produce a community playbook that documents the channels, content types, event formats, and relationship cadences that work for Substrate's audience. Continue building the community infrastructure needed for the San Francisco node: what an active and engaged community looks like in the Bay Area. Who you are The pattern we are looking for combines genuine scientific credibility with commercial experience at a technical company. You will have spent five or more years close to research communities, in a developer relations, scientific outreach, partnerships, or community role at an AI, tech or biotech company. You understand how researchers and data scientists think, what they find credible, and how to earn their attention and trust. You are a strong communicator. You can write a technical post that a principal scientist will find rigorous and a graduate student will find accessible. You can run a panel discussion at a conference, write a newsletter, and manage an online community, and you bring a consistent point of view to all three. You are not looking for a role where the output is impressions and follower counts; you are looking for a role where the output is trust, relationships and BD. You are comfortable building infrastructure that does not yet exist. The community playbook has not been written. The channels have not been established. The question of what Substrate's community is for and who belongs to it is still open. MUST HAVE Five or more years in a community, developer relations, scientific outreach, or technical partnerships role at a company serving research, life sciences, or AI scientists. A demonstrated ability to build a technical community from a low base: growing engagement, producing credible content, and managing relationships with researchers, scientists, or engineers. Strong written communication skills, with a track record of producing technical or scientific content for a specialist audience. Scientific or technical literacy sufficient to engage substantively with biology, data science, and AI practitioners. Willingness to be based in London or San Francisco, with travel to the other location and to key scientific conferences NICE TO HAVE Scientific background (BSc or higher) in biology, biochemistry, computer science, or a related field. Experience in a developer relations or community role at a platform or infrastructure company. Existing relationships within the AI x biology research community AI biotechs, frontier AI labs, academic research groups, or pharma R&D. Familiarity with the conference and events landscape for AI-driven biological discovery. Experience with data or API product communities. Why this is unusual Most community management roles sit inside companies whose community is already defined: a user base that exists, a product that is live, a channel that has followers. The job is to grow and manage something that has already started. This is not that. Substrate's community is not yet built. The audience spans researchers, data scientists, ML engineers, and computational biologists working at the intersection of AI and wet-lab biology; it includes people in academic research groups, philanthropic foundations, frontier AI labs, pharma R&D, and biotech startups, all with different professional contexts and different needs from a community of this type. Part of the job is working out who the community is for and why it exists, before building it. The commercial adjacency is also unusual. In most companies, community and commercial are kept at arm's length: community builds trust, commercial closes deals, and the two teams share data and tooling but operate separately. At Substrate, the community function is one of the primary go-to-market channels, and the Community Manager is a genuine commercial partner. Compensation and equity Compensation is competitive against London and San Francisco market rates for a senior community hire at a venture-backed company, calibrated to the seniority and scope of this role. Equity is meaningful, on the standard four-year vesting schedule with a one-year cliff. We are happy to discuss the structure and philosophy in more detail with shortlisted candidates. . click apply for full job details
Jul 15, 2026
Full time
The opportunity The researchers, data scientists, and ML engineers driving AI-driven biological discovery do not yet know Substrate exists. The Community Manager is the person who will change that. This is Substrate's first dedicated community hire. You will build from scratch: the relationships, the channels, the content, the events, and the feedback loops that turn a network of interested researchers into an active, technically engaged community. You will be the external face of Substrate to the AI x biology research world, and the voice of that world inside Substrate. About Substrate Substrate is building and operating a network of fully autonomous wet laboratories. We are the critical infrastructure layer for AI-driven biological discovery: cloud-based data production facilities, tightly integrated with AI foundation models, that make high-quality experimental biology as accessible as compute. We are a small team, four co-founders and a founding hire class now building out, with venture funding and government grants, opening our first node in London and a second node in San Francisco in parallel. The work is hard and the timeline is compressed. We have two scientific verticals live (protein characterisation and functional genomics), a software platform that connects API calls to automated assay execution, and a commercial pipeline that spans foundation model labs, AI biotechs, pharmaceutical companies, and publicly funded research organisations. We are growing to roughly thirty people by early 2027. The role You will own Substrate's community function end to end. The immediate priority is establishing Substrate's presence in the communities where our most important potential users and customers already spend time: AI-biology conferences, academic research groups, frontier AI lab developer communities, and the broader open-science data ecosystem. The obvious operational pieces are real and important: building and managing Substrate's community channels, creating content (technical posts, case studies, event recaps) that demonstrates what the platform can do, representing Substrate at conferences and research events, and tracking engagement in ways that help the commercial, product and science teams make decisions. Two parts of the role are less standard, and they are why this hire matters so much to Substrate's success. The first is technical credibility. Substrate's community spans researchers who publish in leading journals and engineers who build training pipelines for frontier models. Community management here is not event coordination and social media scheduling; it is substantive engagement with people who will interrogate the science, the data quality, and the integration architecture. The Community Manager needs to be able to meet them there. The second is commercial adjacency. Community at Substrate is not a brand exercise. The relationships built through community will directly feed the commercial pipeline, inform pricing and product decisions, and define which customer segments Substrate chooses to serve deeply. You will work closely with Anna, co-founder, who leads partnerships and go-to-market, and you will operate as a genuine commercial, product and science partner. What you will do in your first twelve months FIRST 90 DAYS JUL TO SEP 2026 Map the existing relationships the founding team holds across research institutions, frontier AI labs, pharma and Ai-native biotechs, and the AI-biotech community; understand which are most relevant to a community-first strategy. Establish Substrate's presence on the channels where the AI x biology research community spends time: a newsletter, relevant online communities, forums, podcasts, and a cadence for conference participation. Publish Substrate's first substantive technical community content: a post or article that demonstrates what the platform does and why it matters to researchers doing AI-driven biology. Identify the ten to fifteen research groups, labs, or organisations that should be Substrate's first community anchor relationships, and begin active outreach and relationship building. MONTHS 4 TO 8 OCT 2026 TO FEB 2027 Build and manage an active community presence around the London node opening: coordinate the launch event, manage researcher outreach, and produce the content that captures what Substrate's first operational period looks like. Establish a structured feedback loop between the community and the product and science teams, so that what researchers ask for and struggle with reaches the people who can act on it. Build the San Francisco community presence in parallel: identify the key organisations, events, and channels in the Bay Area AI-biology ecosystem and establish Substrate's footprint there. Develop a content calendar and production cadence that does not depend on the founding team's time to sustain. Refine the community infrastructure: channel selection, moderation policy, engagement metrics, and reporting to the commercial and product teams. MONTHS 9 TO 12 MAR TO JUN 2027 Build the community to a size and engagement level where it is a measurable input to commercial pipeline: researcher referrals, inbound interest driven by community content, and a clear record of which community relationships have become or are likely to become commercial relationships. Produce a community playbook that documents the channels, content types, event formats, and relationship cadences that work for Substrate's audience. Continue building the community infrastructure needed for the San Francisco node: what an active and engaged community looks like in the Bay Area. Who you are The pattern we are looking for combines genuine scientific credibility with commercial experience at a technical company. You will have spent five or more years close to research communities, in a developer relations, scientific outreach, partnerships, or community role at an AI, tech or biotech company. You understand how researchers and data scientists think, what they find credible, and how to earn their attention and trust. You are a strong communicator. You can write a technical post that a principal scientist will find rigorous and a graduate student will find accessible. You can run a panel discussion at a conference, write a newsletter, and manage an online community, and you bring a consistent point of view to all three. You are not looking for a role where the output is impressions and follower counts; you are looking for a role where the output is trust, relationships and BD. You are comfortable building infrastructure that does not yet exist. The community playbook has not been written. The channels have not been established. The question of what Substrate's community is for and who belongs to it is still open. MUST HAVE Five or more years in a community, developer relations, scientific outreach, or technical partnerships role at a company serving research, life sciences, or AI scientists. A demonstrated ability to build a technical community from a low base: growing engagement, producing credible content, and managing relationships with researchers, scientists, or engineers. Strong written communication skills, with a track record of producing technical or scientific content for a specialist audience. Scientific or technical literacy sufficient to engage substantively with biology, data science, and AI practitioners. Willingness to be based in London or San Francisco, with travel to the other location and to key scientific conferences NICE TO HAVE Scientific background (BSc or higher) in biology, biochemistry, computer science, or a related field. Experience in a developer relations or community role at a platform or infrastructure company. Existing relationships within the AI x biology research community AI biotechs, frontier AI labs, academic research groups, or pharma R&D. Familiarity with the conference and events landscape for AI-driven biological discovery. Experience with data or API product communities. Why this is unusual Most community management roles sit inside companies whose community is already defined: a user base that exists, a product that is live, a channel that has followers. The job is to grow and manage something that has already started. This is not that. Substrate's community is not yet built. The audience spans researchers, data scientists, ML engineers, and computational biologists working at the intersection of AI and wet-lab biology; it includes people in academic research groups, philanthropic foundations, frontier AI labs, pharma R&D, and biotech startups, all with different professional contexts and different needs from a community of this type. Part of the job is working out who the community is for and why it exists, before building it. The commercial adjacency is also unusual. In most companies, community and commercial are kept at arm's length: community builds trust, commercial closes deals, and the two teams share data and tooling but operate separately. At Substrate, the community function is one of the primary go-to-market channels, and the Community Manager is a genuine commercial partner. Compensation and equity Compensation is competitive against London and San Francisco market rates for a senior community hire at a venture-backed company, calibrated to the seniority and scope of this role. Equity is meaningful, on the standard four-year vesting schedule with a one-year cliff. We are happy to discuss the structure and philosophy in more detail with shortlisted candidates. . click apply for full job details
Company OverviewThe SPTS division of KLA, designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.Job Description/Preferred QualificationsKLA is looking for a Senior Manager, Product Regulatory Affairs to join our team based in Newport, Wales.The Senior Manager, Product Regulatory Affairs is a strategic leadership role responsible for shaping and executing KLA's global product compliance and regulatory strategy for semiconductor capital equipment (including inspection, metrology, process control hardware, lasers/optics, electronics, and embedded software).This role translates complex, fast-evolving regulations (product safety, environmental compliance, chemicals management, and sustainability-related requirements) into clear, actionable plans that protect KLA's ability to design, manufacture, ship, install, and service products worldwide.The position serves as a trusted advisor to executive leaders and cross-functional teams, and represents KLA with regulators, industry associations, customers, NGOs, and standards-setting organizations to advocate for science-based, innovation-enabling policy and standards.Key responsibilitiesRegulatory Strategy & ForesightMonitor, analyze, and interpret emerging and changing global regulations that impact KLA products and operations (e.g., EU RoHS/REACH, WEEE, TSCA, PFAS-related restrictions, China RoHS, UKCA/CE, California Proposition 65, conflict minerals, battery/packaging requirements where applicable).Anticipate regulatory trends and assess impacts to product architecture (materials, components, coatings, lasers/optics, electronics), supplier sourcing, manufacturing, labeling, documentation, import/export, installation, and field service.Define multi-year regulatory roadmaps aligned with KLA's technology and product roadmaps; drive design-for-compliance decisions early in the development lifecycle (NPI) to reduce downstream cost, schedule risk, and shipment holds.Establish metrics and reporting for regulatory risk, compliance status, and mitigation plans across product lines and geographies.Executive Advisory & Stakeholder EngagementServe as a trusted advisor to senior leadership on regulatory risk, business continuity, and customer impact; provide clear options, trade-offs, and recommendations.Develop executive-level briefings, and decision memos on topics such as restricted substances, product safety certifications, sustainability disclosures affecting products, and enforcement trends.Drive alignment across Engineering, Quality, Legal, EHS, Supply Chain, Operations, and Sustainability to ensure consistent interpretation and execution of requirements across global sites.External Representation & AdvocacyRepresent KLA with regulators, industry coalitions, trade associations, customers, NGOs, and standards bodies on product compliance topics relevant to semiconductor manufacturing equipment.Advocate for science-based, risk-informed, and innovation-supportive regulation; draft and coordinate KLA input to consultations, proposed rules, and enforcement guidance.Build and maintain external relationships to improve visibility into upcoming changes, influence outcomes where appropriate, and protect KLA's license to operate in key markets.Support customer engagements and audits by explaining KLA's compliance approach, substantiating declarations, and resolving issues that could affect tool acceptance or installation.Standards & Industry LeadershipLead KLA participation in relevant standards organizations (e.g., SEMI, IEC, ISO, UL) and working groups impacting semiconductor equipment, electrical safety, EMC, laser safety, environmental compliance, and material declarations.Provide technical and policy input to global standards development; coordinate internal subject-matter experts to ensure KLA positions are accurate, consistent, and aligned with business priorities.Translate evolving standards into internal requirements for design, documentation, labeling, testing, and supplier controls; ensure readiness for certification and market access.Regulatory Risk ManagementIdentify and prioritize regulatory risks and opportunities; lead impact analyses, scenario planning, and mitigation plans to prevent shipment delays, product redesigns, or field retrofit exposure.Own and improve governance for compliance evidence (e.g., technical files, declarations, supplier material disclosures, test reports, certificates), ensuring audit-ready documentation and traceability.Partner with Legal on interpretation, enforcement response, and contractual language; support investigations, corrective actions, and communications with authorities when required.Collaborate with Supply Chain to implement robust supplier compliance programs (restricted substance controls, IPC-1752/IEC 62474 declarations where applicable, change notification, and escalation paths).Internal Enablement & GovernanceEstablish and continuously improve internal product compliance policies, procedures, and governance, including clear ownership, escalation pathways, and decision rights across business units and regions.Develop and deliver training for Engineering, Supply Chain, Quality, and Operations on product regulatory requirements (e.g., RoHS/REACH, labeling/marking, safety certification expectations, documentation and record retention).Ensure consistent global interpretation and implementation of requirements across product lines and sites; standardize templates, checklists, and evidence packages.Enable sustainability and customer reporting needs by partnering with ESG/Sustainability teams to provide product-related data (materials, substances, compliance statements) while maintaining technical accuracy and defensibility.Experience and QualificationsThe successful candidate will haveBachelor's or Master's degree in engineering, chemistry, materials science, environmental science, or a related technical discipline (or equivalent experience).Extensive experience in product regulatory affairs / product compliance for complex hardware systems (capital equipment, industrial electronics, medical devices, aerospace, or similar); semiconductor equipment experience strongly valued.Demonstrated expertise with global product environmental and chemicals regulations (e.g., RoHS, REACH/SCIP, TSCA, PFAS programs, Prop 65) and the ability to translate requirements into engineering and supply chain actions.Experience engaging regulatory authorities, industry associations, and/or standards bodies; strong capability to influence without authority across global, matrixed organizations.Excellent executive communication skills including the ability to present complex topics clearly to senior leaders and cross-functional technical teams.Experience providing strategic regulatory advice to senior management, steering committees, or executive stakeholdersDemonstrated ability to anticipate regulatory trends, assess forward looking impact, and influence business planning and prioritizationDesirable experienceExperience driving governance frameworks, regulatory trackers, risk assessments, or operating models that institutionalize regulatory compliance and accountabilityAbility to champion regulatory topics internally, build awareness, and upskill teams through guidance, training, and thought leadershipExperience supporting market access and certifications for global shipments (e.g., CE/UKCA marking, IEC/UL safety, EMC compliance, laser safety where applicable, and related documentation).Leadership roles in standards organizations or trade associations (e.g., SEMI, IEC, ISO) and proven experience drafting industry positions and comment letters.Experience implementing supplier materials/compliance due diligence and data collection programs and tools . click apply for full job details
Jul 15, 2026
Full time
Company OverviewThe SPTS division of KLA, designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.Job Description/Preferred QualificationsKLA is looking for a Senior Manager, Product Regulatory Affairs to join our team based in Newport, Wales.The Senior Manager, Product Regulatory Affairs is a strategic leadership role responsible for shaping and executing KLA's global product compliance and regulatory strategy for semiconductor capital equipment (including inspection, metrology, process control hardware, lasers/optics, electronics, and embedded software).This role translates complex, fast-evolving regulations (product safety, environmental compliance, chemicals management, and sustainability-related requirements) into clear, actionable plans that protect KLA's ability to design, manufacture, ship, install, and service products worldwide.The position serves as a trusted advisor to executive leaders and cross-functional teams, and represents KLA with regulators, industry associations, customers, NGOs, and standards-setting organizations to advocate for science-based, innovation-enabling policy and standards.Key responsibilitiesRegulatory Strategy & ForesightMonitor, analyze, and interpret emerging and changing global regulations that impact KLA products and operations (e.g., EU RoHS/REACH, WEEE, TSCA, PFAS-related restrictions, China RoHS, UKCA/CE, California Proposition 65, conflict minerals, battery/packaging requirements where applicable).Anticipate regulatory trends and assess impacts to product architecture (materials, components, coatings, lasers/optics, electronics), supplier sourcing, manufacturing, labeling, documentation, import/export, installation, and field service.Define multi-year regulatory roadmaps aligned with KLA's technology and product roadmaps; drive design-for-compliance decisions early in the development lifecycle (NPI) to reduce downstream cost, schedule risk, and shipment holds.Establish metrics and reporting for regulatory risk, compliance status, and mitigation plans across product lines and geographies.Executive Advisory & Stakeholder EngagementServe as a trusted advisor to senior leadership on regulatory risk, business continuity, and customer impact; provide clear options, trade-offs, and recommendations.Develop executive-level briefings, and decision memos on topics such as restricted substances, product safety certifications, sustainability disclosures affecting products, and enforcement trends.Drive alignment across Engineering, Quality, Legal, EHS, Supply Chain, Operations, and Sustainability to ensure consistent interpretation and execution of requirements across global sites.External Representation & AdvocacyRepresent KLA with regulators, industry coalitions, trade associations, customers, NGOs, and standards bodies on product compliance topics relevant to semiconductor manufacturing equipment.Advocate for science-based, risk-informed, and innovation-supportive regulation; draft and coordinate KLA input to consultations, proposed rules, and enforcement guidance.Build and maintain external relationships to improve visibility into upcoming changes, influence outcomes where appropriate, and protect KLA's license to operate in key markets.Support customer engagements and audits by explaining KLA's compliance approach, substantiating declarations, and resolving issues that could affect tool acceptance or installation.Standards & Industry LeadershipLead KLA participation in relevant standards organizations (e.g., SEMI, IEC, ISO, UL) and working groups impacting semiconductor equipment, electrical safety, EMC, laser safety, environmental compliance, and material declarations.Provide technical and policy input to global standards development; coordinate internal subject-matter experts to ensure KLA positions are accurate, consistent, and aligned with business priorities.Translate evolving standards into internal requirements for design, documentation, labeling, testing, and supplier controls; ensure readiness for certification and market access.Regulatory Risk ManagementIdentify and prioritize regulatory risks and opportunities; lead impact analyses, scenario planning, and mitigation plans to prevent shipment delays, product redesigns, or field retrofit exposure.Own and improve governance for compliance evidence (e.g., technical files, declarations, supplier material disclosures, test reports, certificates), ensuring audit-ready documentation and traceability.Partner with Legal on interpretation, enforcement response, and contractual language; support investigations, corrective actions, and communications with authorities when required.Collaborate with Supply Chain to implement robust supplier compliance programs (restricted substance controls, IPC-1752/IEC 62474 declarations where applicable, change notification, and escalation paths).Internal Enablement & GovernanceEstablish and continuously improve internal product compliance policies, procedures, and governance, including clear ownership, escalation pathways, and decision rights across business units and regions.Develop and deliver training for Engineering, Supply Chain, Quality, and Operations on product regulatory requirements (e.g., RoHS/REACH, labeling/marking, safety certification expectations, documentation and record retention).Ensure consistent global interpretation and implementation of requirements across product lines and sites; standardize templates, checklists, and evidence packages.Enable sustainability and customer reporting needs by partnering with ESG/Sustainability teams to provide product-related data (materials, substances, compliance statements) while maintaining technical accuracy and defensibility.Experience and QualificationsThe successful candidate will haveBachelor's or Master's degree in engineering, chemistry, materials science, environmental science, or a related technical discipline (or equivalent experience).Extensive experience in product regulatory affairs / product compliance for complex hardware systems (capital equipment, industrial electronics, medical devices, aerospace, or similar); semiconductor equipment experience strongly valued.Demonstrated expertise with global product environmental and chemicals regulations (e.g., RoHS, REACH/SCIP, TSCA, PFAS programs, Prop 65) and the ability to translate requirements into engineering and supply chain actions.Experience engaging regulatory authorities, industry associations, and/or standards bodies; strong capability to influence without authority across global, matrixed organizations.Excellent executive communication skills including the ability to present complex topics clearly to senior leaders and cross-functional technical teams.Experience providing strategic regulatory advice to senior management, steering committees, or executive stakeholdersDemonstrated ability to anticipate regulatory trends, assess forward looking impact, and influence business planning and prioritizationDesirable experienceExperience driving governance frameworks, regulatory trackers, risk assessments, or operating models that institutionalize regulatory compliance and accountabilityAbility to champion regulatory topics internally, build awareness, and upskill teams through guidance, training, and thought leadershipExperience supporting market access and certifications for global shipments (e.g., CE/UKCA marking, IEC/UL safety, EMC compliance, laser safety where applicable, and related documentation).Leadership roles in standards organizations or trade associations (e.g., SEMI, IEC, ISO) and proven experience drafting industry positions and comment letters.Experience implementing supplier materials/compliance due diligence and data collection programs and tools . click apply for full job details
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organisations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognised with honours including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges - we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role Our EDEN models, trained on the world's largest ethically-sourced biological dataset, have already designed novel antibiotics validated against priority pathogens in the lab, and prioritised vaccine targets faster than comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what "good data" means and validating through evidence the success of our foundational models. You will be a first principles thinker capable of reasoning backwards: defining what data would train a capability, how to structure, and what evaluations would show the model is doing what we intend. You can read more about EDEN's move into antibiotic and vaccine design. What you'll do Start from a modelling goal and work out the data behind it: what to assemble or curate, how to define ground truth and label quality, and how to build biologically sound splits homology- and structure-aware, not naive random so that what a model learns holds up. Design the evaluations that prove it: the metrics, baselines, and failure analysis that show a model is genuinely capable rather than exploiting leakage or a shortcut in the data. Fine tune and rigorously evaluate genomic or protein models, or work hand in hand with those who do, so that your dataset decisions are grounded in how they actually move model performance. Reason about biological meaning from foundational, evolutionary-scale data through to human therapeutic context: target validation evidence, indication mapping, peptide-level questions. Run and develop the genomic and protein analyses that depend on sequence analysis, alignment, annotation, comparative and evolutionary approaches with the scepticism to spot when a result is an artefact of the method rather than the biology. Work reproducibly, so your datasets and analyses are something the team can rerun and build on rather than a result that only ran once on your machine using whatever tooling fits, from workflow managers to containers, without needing to be a platform engineer. Hold the line on data integrity, treating provenance and lineage as first-class parts of the dataset because a model is only as trustworthy as the consented, traceable data underneath it. About You You have demonstrated experience curating data specifically for life science AI, so you understand what separates a dataset that trains a good model from one that quietly poisons it. That comes from having been close to the models themselves. You've trained, fine tuned, or run inference on them enough to know what a dataset looks like from the other side. Your foundations are strong. You have core bioinformatics, sequence informatics and the standard genomic and protein toolchain, along with the judgment to know where those tools quietly break down, backed by sound software practice in reproducibility, version control, and pipelines. You have direct experience in human research, functional genomics, or clinically relevant work, the kind where the biology connects to human health rather than sitting at arm's length. You'll likely have a PhD in a relevant field, an MSc with 1 3 years of relevant experience, or a BSc with 3 or more years. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes towards the company's success. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions - so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
Jul 15, 2026
Full time
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organisations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognised with honours including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges - we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role Our EDEN models, trained on the world's largest ethically-sourced biological dataset, have already designed novel antibiotics validated against priority pathogens in the lab, and prioritised vaccine targets faster than comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what "good data" means and validating through evidence the success of our foundational models. You will be a first principles thinker capable of reasoning backwards: defining what data would train a capability, how to structure, and what evaluations would show the model is doing what we intend. You can read more about EDEN's move into antibiotic and vaccine design. What you'll do Start from a modelling goal and work out the data behind it: what to assemble or curate, how to define ground truth and label quality, and how to build biologically sound splits homology- and structure-aware, not naive random so that what a model learns holds up. Design the evaluations that prove it: the metrics, baselines, and failure analysis that show a model is genuinely capable rather than exploiting leakage or a shortcut in the data. Fine tune and rigorously evaluate genomic or protein models, or work hand in hand with those who do, so that your dataset decisions are grounded in how they actually move model performance. Reason about biological meaning from foundational, evolutionary-scale data through to human therapeutic context: target validation evidence, indication mapping, peptide-level questions. Run and develop the genomic and protein analyses that depend on sequence analysis, alignment, annotation, comparative and evolutionary approaches with the scepticism to spot when a result is an artefact of the method rather than the biology. Work reproducibly, so your datasets and analyses are something the team can rerun and build on rather than a result that only ran once on your machine using whatever tooling fits, from workflow managers to containers, without needing to be a platform engineer. Hold the line on data integrity, treating provenance and lineage as first-class parts of the dataset because a model is only as trustworthy as the consented, traceable data underneath it. About You You have demonstrated experience curating data specifically for life science AI, so you understand what separates a dataset that trains a good model from one that quietly poisons it. That comes from having been close to the models themselves. You've trained, fine tuned, or run inference on them enough to know what a dataset looks like from the other side. Your foundations are strong. You have core bioinformatics, sequence informatics and the standard genomic and protein toolchain, along with the judgment to know where those tools quietly break down, backed by sound software practice in reproducibility, version control, and pipelines. You have direct experience in human research, functional genomics, or clinically relevant work, the kind where the biology connects to human health rather than sitting at arm's length. You'll likely have a PhD in a relevant field, an MSc with 1 3 years of relevant experience, or a BSc with 3 or more years. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes towards the company's success. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions - so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
Basecamp Research is seeking a Senior Bioinformatics Scientist in London to join the Genomics team. You will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements, provenance, and performance, contributing across the data lifecycle and ensuring reproducibility.
Jul 15, 2026
Full time
Basecamp Research is seeking a Senior Bioinformatics Scientist in London to join the Genomics team. You will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements, provenance, and performance, contributing across the data lifecycle and ensuring reproducibility.
JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)
Jul 15, 2026
Full time
JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)
