AstraZeneca
Cambridge, Cambridgeshire
Job Title: Senior AI Scientist - Hit Discovery and Protein Sciences Location: Cambridge, UK Competitive salary and benefits Introduction to the role: Are you acuriousDataand AIScientist seeking a role where yourexpertisecan make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discoverhitsand protein reagentsin drug discovery. Diverse Minds. Bold Disruptors. Meaningful Impactthrough Partnership. At AstraZenecawe'rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno better place to make a difference to medicine,patientsand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development. Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small moleculesand peptidesdiscovered usingyour skillsandinpartnershipwith our technical platformscan serve as the seeds for future medicines and make a real difference in our mission to help patients. You will be basedin early drug discovery R&DwithinData Sciences & Quantitative Biologydepartmentin Discovery Sciencesand will work closely with our colleagues in the Hit Discoveryand Protein Sciencesdepartments.To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca. What you will do You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and ledatageneration platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. Wetruly believethat everyone hasan important rolein drug discoveryandeach individualbringsaunique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience. Essential requirements: Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable workingin a dynamic and team-focussedenvironment. Critical will be tohave effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discoveryand Protein Sciencesactivities, you will bring analytical skills,innovationand your strategic mindsetto this excitingand evolvingarea. A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine. Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts. Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, NoSQL, Graph or file-based approaches). Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and GitHub) and high-performance computing infrastructure. Experiencereporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments. Desirables: Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules and/or proteins. Experience in data analysis of high-throughput assays (peptides /small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics). Experience in developing software and packages. Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other scientific proceedings. Ability to collaborate and build consensus across cross-functional teams. Ability to identify opportunities and synergies across projects. Experience in communicating chemistry and protein concepts within a data science context. Why AstraZeneca There are many opportunities to develop yourself and your career. From our diverse portfolio and collaboration to our ground-breaking innovations -it's a place for lifelong learning. You'll be based in our Discovery Centre placed in the heart of the Cambridge Biomedical Campus - an open, welcoming and vibrant centre that will encourage us and our partners to push the boundaries of scientific innovation. Next Steps: Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Please apply via the link and one of our team members will be in touch as soon as possible. This is being actively recruited so early application is advised. Where can you find more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
Job Title: Senior AI Scientist - Hit Discovery and Protein Sciences Location: Cambridge, UK Competitive salary and benefits Introduction to the role: Are you acuriousDataand AIScientist seeking a role where yourexpertisecan make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discoverhitsand protein reagentsin drug discovery. Diverse Minds. Bold Disruptors. Meaningful Impactthrough Partnership. At AstraZenecawe'rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno better place to make a difference to medicine,patientsand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development. Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small moleculesand peptidesdiscovered usingyour skillsandinpartnershipwith our technical platformscan serve as the seeds for future medicines and make a real difference in our mission to help patients. You will be basedin early drug discovery R&DwithinData Sciences & Quantitative Biologydepartmentin Discovery Sciencesand will work closely with our colleagues in the Hit Discoveryand Protein Sciencesdepartments.To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca. What you will do You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and ledatageneration platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. Wetruly believethat everyone hasan important rolein drug discoveryandeach individualbringsaunique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience. Essential requirements: Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable workingin a dynamic and team-focussedenvironment. Critical will be tohave effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discoveryand Protein Sciencesactivities, you will bring analytical skills,innovationand your strategic mindsetto this excitingand evolvingarea. A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine. Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts. Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, NoSQL, Graph or file-based approaches). Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and GitHub) and high-performance computing infrastructure. Experiencereporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments. Desirables: Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules and/or proteins. Experience in data analysis of high-throughput assays (peptides /small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics). Experience in developing software and packages. Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other scientific proceedings. Ability to collaborate and build consensus across cross-functional teams. Ability to identify opportunities and synergies across projects. Experience in communicating chemistry and protein concepts within a data science context. Why AstraZeneca There are many opportunities to develop yourself and your career. From our diverse portfolio and collaboration to our ground-breaking innovations -it's a place for lifelong learning. You'll be based in our Discovery Centre placed in the heart of the Cambridge Biomedical Campus - an open, welcoming and vibrant centre that will encourage us and our partners to push the boundaries of scientific innovation. Next Steps: Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Please apply via the link and one of our team members will be in touch as soon as possible. This is being actively recruited so early application is advised. Where can you find more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
Reach Industries Limited
Bristol, Gloucestershire
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
