GlaxoSmithKline
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
Privitar
Lambeth, London
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.
Salary 70,000 - 100,000 GBP per year Requirements: - Bachelor's or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates. Experience of coding in Java or in a related object orientated language and evidence of commitment and ability to ramp up in Java. You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. Experience building a software product, ideally over the full lifecycle from design to production and ongoing support and enhancement Experience of and commitment to automated testing Ability to deliver results with rapidly evolving propositions, client demands and business needs Experience building complex distributed systems using micro services architecture Curious and open to learn new languages and tools Excellent communication skills (and the maturity to understand why this is vital) Responsibilities: - You will be working together with the team to build out a scalable cloud-first data processing privacy engine. Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You'll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team. Technologies: - Cloud - REST - Big Data - Backend - DevOps - Java - Kafka - Kubernetes - Kotlin - NodeJS - Sonar - Spark More: We are looking for a Senior Software Engineer who is highly technically proficient where you take a deep pride in the products you build and care about writing readable, well-tested code. Depending on your motivations, this has the potential to grow into a Tech lead position. About us Privitar is a rapidly growing Data Privacy Enterprise Software company founded in London with global offices in Boston, Warsaw and Israel; building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organizations worldwide in financial services, telecommunications, pharma, and government, enabling them to get the most out of data without compromising on privacy and security. Privitar is pioneering the new enterprise software category of sensitive data management, with deep domain expertise in data privacy. The company aims to define and lead this category, capture the market on modern data platforms; and address a social issue of growing importance. Our technology enables organizations to make data available efficiently and safely to drive data-driven decision making, capture value and reduce risk. Backed by world-leading private equity and venture capital funds who've invested in companies like Crowdstrike, BEA Systems, Slack, Dropbox and Spotify to date we have raised over $150million in funding and have ambitious growth plans, despite challenging economic conditions. In 2020, our team nearly doubled to 200 people and we continue to hire great people. The company was recently lauded by The Sunday Times as one of the "10 Tech Ones to Watch," ranked on the 2020 Deloitte Technology UK Fast 50 and honoured as one of the FinTech50. Many of an organization's deepest, most valuable insights are derived from analyzing sensitive data. The Privitar Data Provisioning Platform enables analysts and data scientists to find, understand and share useful datasets. The platform integrates with existing metadata sources and enables users to collaborate to refine content and request new data. Data protection is achieved through a comprehensive metadata layer that contextualizes datasets and drives automated privacy enforcement through a set of intuitive relationships based on a controlled vocabulary and governance standards. By maximizing the utility of the data and expanding its safe access, organizations can improve insights to prevent financial crimes such as anti-money laundering, improve sales and marketing segmentation analysis, enhance research models through data sharing, enable cloud migration technologies and even launch data monetization initiatives. The platform is delivered as both SaaS and hybrid cloud offerings that are optimized to deal with a wide range of data at rest and in flight and you'll join our team as we build out an extensible architecture that will run anywhere, at scale, and form the basis for significant evolution in the roadmap as we continue to solve our customers' biggest challenges and help them unlock the potential of their data.