Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI! EMBL's European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial i click apply for full job details
Feb 11, 2026
Full time
Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI! EMBL's European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial i click apply for full job details
Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting edge methods to keep our platform at the forefront of computational sciences. In this role, you will: Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success. Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems. Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation. Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community. The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular level insights for advancing drug candidates. We employ physics based and physics informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods metadynamics, MM/PBSA, and quantum mechanical calculations, to enable cost effective and scalable structure based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area. Excellent programming skills in Python for tool development. Proven track record in the development of molecular simulation or computational chemistry tools. Basic knowledge of drug discovery processes and the application of molecular simulations in this field. Experience in deploying and orchestrating large scale jobs using compute clusters or cloud based infrastructures. Working Location & Compensation: This is an office based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 to £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Feb 10, 2026
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting edge methods to keep our platform at the forefront of computational sciences. In this role, you will: Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success. Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems. Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation. Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community. The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular level insights for advancing drug candidates. We employ physics based and physics informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods metadynamics, MM/PBSA, and quantum mechanical calculations, to enable cost effective and scalable structure based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area. Excellent programming skills in Python for tool development. Proven track record in the development of molecular simulation or computational chemistry tools. Basic knowledge of drug discovery processes and the application of molecular simulations in this field. Experience in deploying and orchestrating large scale jobs using compute clusters or cloud based infrastructures. Working Location & Compensation: This is an office based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 to £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting-edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision-making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine-mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi-omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision-making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large-scale human genetic datasets and post-GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high-performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end-to-end drug discovery process and how genetic evidence informs decision-making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact-driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast-paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES : Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
Feb 10, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting-edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision-making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine-mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi-omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision-making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large-scale human genetic datasets and post-GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high-performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end-to-end drug discovery process and how genetic evidence informs decision-making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact-driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast-paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES : Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.
Feb 07, 2026
Full time
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.
Overview Jobs in Structural Biology and Related Fields. Postdoctoral position protein crystallography and higher scientific officer assay development positions available at The Institute of Cancer Research, London UK. The Institute of Cancer Research (ICR), London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The ICR leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment. Together with our hospital partner The Royal Marsden, we are rated in the top four centres for cancer research and treatment worldwide. As well as being a world-class institute, we are a college of the University of London. We came top in the league table of university research quality compiled from the Research Excellence Framework and second in 2021 (REF 2014 and 2021). The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission - to make the discoveries that defeat cancer. The Centre for Cancer Drug Discovery (CCDD), within the Division of Cancer Therapeutics, is a multidisciplinary bench-to-bedside centre, comprising around 160 staff dedicated to the discovery and development of novel therapeutics for the treatment of cancer. The CCDD's exciting goal is to discover high quality small molecule drug candidates and to progress these to clinical trial. All the scientific disciplines are in place to make this possible, including medicinal chemistry, biology, structural biology, assay scientists, drug metabolism and clinical specialists. This is an exciting and fast-moving research setup and offers the opportunity to work within a multi-disciplinary environment using state-of-the-art techniques and equipment. Two positions are available in Dr Rob van Montfort's Hit Discovery and Structural Design (HDSD) group within the CCDD. The team uses biochemical and biophysical assays to perform small-molecule high-throughput screening and fragment-based hit discovery, coupled with X-ray crystallography to enable structure-based drug design. These methodologies are underpinned by state-of-the art protein expression, purification and biophysical characterisation capabilities, allowing for the generation of large quantities of high-quality protein targets. Responsibilities Postdoctoral training fellow in protein crystallography involved in the structure determination of protein-ligand complexes, primarily by X-ray crystallography and potentially by cryo-electron microscopy (cryo-EM). Produce and purify proteins, crystallise proteins, determine structures by X-ray crystallography and perform subsequent structural analysis. Be an integral member of a multidisciplinary project team within the CCDD at the ICR Sutton site and work closely with biologists, computational chemists, medicinal chemists, assay scientists and structural biologists. Access state-of-the-art facilities for protein production and purification, biophysical characterisation and crystallisation at the Sutton site; participate in the Division of Structural Biology facilities at Chelsea with access to cryo-EM facilities, including Glacios and Titan Krios with Falcon III detectors. Qualifications PhD (or equivalent) in a biological or physical science with demonstrable experience in X-ray crystallography and protein biochemistry. Experience in cryo-EM specimen preparation and data processing is advantageous but not mandatory. Experience in molecular biology, protein expression and purification, and biophysical characterisation of protein samples is highly desirable. Additional requirements Experience in assay development and screening is sought for a higher scientific officer level position. The role includes developing and running plate-based biochemical and/or cellular screening assays to support identification and characterisation of small-molecule inhibitors against novel cancer targets using various detection technologies. Strong laboratory experience monitoring small molecule binding and function in drug discovery is required; a good understanding of enzymology is beneficial, as is prior use of automation equipment for liquid handling and compound profiling. Contract and contact The posts are offered on a fixed-term contract for 18 months initially. Informal enquiries to or . Please do not send your application to Dr van Montfort, Dr Le Bihan, or Dr Caroline Ewens; apply via the e-recruitment system on our website .
Feb 07, 2026
Full time
Overview Jobs in Structural Biology and Related Fields. Postdoctoral position protein crystallography and higher scientific officer assay development positions available at The Institute of Cancer Research, London UK. The Institute of Cancer Research (ICR), London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The ICR leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment. Together with our hospital partner The Royal Marsden, we are rated in the top four centres for cancer research and treatment worldwide. As well as being a world-class institute, we are a college of the University of London. We came top in the league table of university research quality compiled from the Research Excellence Framework and second in 2021 (REF 2014 and 2021). The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission - to make the discoveries that defeat cancer. The Centre for Cancer Drug Discovery (CCDD), within the Division of Cancer Therapeutics, is a multidisciplinary bench-to-bedside centre, comprising around 160 staff dedicated to the discovery and development of novel therapeutics for the treatment of cancer. The CCDD's exciting goal is to discover high quality small molecule drug candidates and to progress these to clinical trial. All the scientific disciplines are in place to make this possible, including medicinal chemistry, biology, structural biology, assay scientists, drug metabolism and clinical specialists. This is an exciting and fast-moving research setup and offers the opportunity to work within a multi-disciplinary environment using state-of-the-art techniques and equipment. Two positions are available in Dr Rob van Montfort's Hit Discovery and Structural Design (HDSD) group within the CCDD. The team uses biochemical and biophysical assays to perform small-molecule high-throughput screening and fragment-based hit discovery, coupled with X-ray crystallography to enable structure-based drug design. These methodologies are underpinned by state-of-the art protein expression, purification and biophysical characterisation capabilities, allowing for the generation of large quantities of high-quality protein targets. Responsibilities Postdoctoral training fellow in protein crystallography involved in the structure determination of protein-ligand complexes, primarily by X-ray crystallography and potentially by cryo-electron microscopy (cryo-EM). Produce and purify proteins, crystallise proteins, determine structures by X-ray crystallography and perform subsequent structural analysis. Be an integral member of a multidisciplinary project team within the CCDD at the ICR Sutton site and work closely with biologists, computational chemists, medicinal chemists, assay scientists and structural biologists. Access state-of-the-art facilities for protein production and purification, biophysical characterisation and crystallisation at the Sutton site; participate in the Division of Structural Biology facilities at Chelsea with access to cryo-EM facilities, including Glacios and Titan Krios with Falcon III detectors. Qualifications PhD (or equivalent) in a biological or physical science with demonstrable experience in X-ray crystallography and protein biochemistry. Experience in cryo-EM specimen preparation and data processing is advantageous but not mandatory. Experience in molecular biology, protein expression and purification, and biophysical characterisation of protein samples is highly desirable. Additional requirements Experience in assay development and screening is sought for a higher scientific officer level position. The role includes developing and running plate-based biochemical and/or cellular screening assays to support identification and characterisation of small-molecule inhibitors against novel cancer targets using various detection technologies. Strong laboratory experience monitoring small molecule binding and function in drug discovery is required; a good understanding of enzymology is beneficial, as is prior use of automation equipment for liquid handling and compound profiling. Contract and contact The posts are offered on a fixed-term contract for 18 months initially. Informal enquiries to or . Please do not send your application to Dr van Montfort, Dr Le Bihan, or Dr Caroline Ewens; apply via the e-recruitment system on our website .
Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The vision for the Institute of Materials & Devices for Life Sciences (MDLS) at the Ellison Institute of Technology (EIT) is to advance human health by scaling interdisciplinary science at the interface of chemistry, biology and engineering. Led by Professor Hagan Bayley, it will house more than 100 researchers engaging in three interrelated endeavors; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering. The MDLS Institute will expand nanopore science to detect a wider range of biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development of new devices capable of serving as powerful tools in clinical settings. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking ambitious and creative Postdoctoral Research Scientists to join the Materials & Devices for Life Sciences (MDLS) Institute at EIT Oxford. Our research focuses on developing nanopore technologies and powerful new devices to transform clinical and personal diagnostics, and the scalable development of personalised therapeutics through the exploration of both synthetic tissue like materials and living tissues prepared by 3D printing. MDLS brings together molecular sciences, nanotechnology, and bioengineering to create transformative materials and tools for the biomedical sciences. We are recruiting Postdoctoral Research Scientists to advance these efforts across a broad range of areas, including: Nanopore technologies for small molecule diagnostics Single molecule technologies for biopolymer analysis Programmable membrane proteins for nanoscale transport and sensing Precision biomolecule processing for single molecule technologies 3D tissue engineering with stem cells Synthetic and hybrid tissue engineering Versatile nanopore devices for sensing, sequencing, and beyond Devices for advanced tissue engineering As a Postdoctoral Research Scientist, you will design and conduct experiments addressing fundamental technological challenges, lead the development and refinement of emerging technologies, contribute to impactful scientific publications, and actively support the mentorship of junior researchers. Working at the intersection of chemistry, biology, physics, and engineering, you will play an integral role in shaping MDLS's evolving vision to redefine the possibilities of biotechnology. MDLS offers a dynamic, collaborative, and well resourced environment, with access to advanced instrumentation, fabrication facilities, and an ecosystem of allied institutes working at the interface of technology and life sciences. This is a unique opportunity to contribute to a research programme that is technique agnostic, impact driven, and unafraid to push boundaries. We welcome candidates with a PhD in a relevant discipline and a strong record of research excellence. Enthusiasm for cross disciplinary research, curiosity driven problem solving, and the ambition to translate discoveries into real world applications are key. Essential Knowledge, Skills and Experience: Completion of a PhD within a relevant field (e.g., chemical biology, organic chemistry, synthetic biology, computational chemistry or biology, materials science, human cell biology, physiology and pathology, biophysics, device engineering, biomedical engineering, nanoscience). Proven record of research achievements, including publications in high impact journals and presentations at international conferences. Skill in data analysis and interpretation, with experience in one or more of the following areas desirable: single molecule techniques, protein engineering, bioorganic chemistry, stem cell and tissue culture, microfluidics, device design and fabrication, or computational modelling and analysis. Proven ability to work independently, think creatively, and solve complex experimental problems. Strong troubleshooting skills with the ability to identify and resolve challenging technical issues. Broad understanding of current developments in relevant fields and the ability to identify promising directions for future research and technology development. Innovative thinking with a proactive approach to problem solving and scientific discovery. Excellent organisational skills and the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience of collaboration in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Feb 06, 2026
Full time
Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The vision for the Institute of Materials & Devices for Life Sciences (MDLS) at the Ellison Institute of Technology (EIT) is to advance human health by scaling interdisciplinary science at the interface of chemistry, biology and engineering. Led by Professor Hagan Bayley, it will house more than 100 researchers engaging in three interrelated endeavors; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering. The MDLS Institute will expand nanopore science to detect a wider range of biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development of new devices capable of serving as powerful tools in clinical settings. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking ambitious and creative Postdoctoral Research Scientists to join the Materials & Devices for Life Sciences (MDLS) Institute at EIT Oxford. Our research focuses on developing nanopore technologies and powerful new devices to transform clinical and personal diagnostics, and the scalable development of personalised therapeutics through the exploration of both synthetic tissue like materials and living tissues prepared by 3D printing. MDLS brings together molecular sciences, nanotechnology, and bioengineering to create transformative materials and tools for the biomedical sciences. We are recruiting Postdoctoral Research Scientists to advance these efforts across a broad range of areas, including: Nanopore technologies for small molecule diagnostics Single molecule technologies for biopolymer analysis Programmable membrane proteins for nanoscale transport and sensing Precision biomolecule processing for single molecule technologies 3D tissue engineering with stem cells Synthetic and hybrid tissue engineering Versatile nanopore devices for sensing, sequencing, and beyond Devices for advanced tissue engineering As a Postdoctoral Research Scientist, you will design and conduct experiments addressing fundamental technological challenges, lead the development and refinement of emerging technologies, contribute to impactful scientific publications, and actively support the mentorship of junior researchers. Working at the intersection of chemistry, biology, physics, and engineering, you will play an integral role in shaping MDLS's evolving vision to redefine the possibilities of biotechnology. MDLS offers a dynamic, collaborative, and well resourced environment, with access to advanced instrumentation, fabrication facilities, and an ecosystem of allied institutes working at the interface of technology and life sciences. This is a unique opportunity to contribute to a research programme that is technique agnostic, impact driven, and unafraid to push boundaries. We welcome candidates with a PhD in a relevant discipline and a strong record of research excellence. Enthusiasm for cross disciplinary research, curiosity driven problem solving, and the ambition to translate discoveries into real world applications are key. Essential Knowledge, Skills and Experience: Completion of a PhD within a relevant field (e.g., chemical biology, organic chemistry, synthetic biology, computational chemistry or biology, materials science, human cell biology, physiology and pathology, biophysics, device engineering, biomedical engineering, nanoscience). Proven record of research achievements, including publications in high impact journals and presentations at international conferences. Skill in data analysis and interpretation, with experience in one or more of the following areas desirable: single molecule techniques, protein engineering, bioorganic chemistry, stem cell and tissue culture, microfluidics, device design and fabrication, or computational modelling and analysis. Proven ability to work independently, think creatively, and solve complex experimental problems. Strong troubleshooting skills with the ability to identify and resolve challenging technical issues. Broad understanding of current developments in relevant fields and the ability to identify promising directions for future research and technology development. Innovative thinking with a proactive approach to problem solving and scientific discovery. Excellent organisational skills and the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience of collaboration in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Feb 05, 2026
Full time
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. You will have hands-on experience applying computational methods to real-world therapeutic discovery challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational techniques to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art statistical and computational tools. Your responsibilities Develop and implement scalable computational workflows for the analysis of multi-omics and population genetics datasets. Lead multi-modal data integration efforts to uncover disease biology, prioritise mechanisms, and identify actionable targets. Design and apply statistical models for analysing genomics, transcriptomics, and other omics datasets. Partner closely with experimental and machine learning teams to validate hypotheses, interpret results, and guide downstream studies. Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in genomics, computational biology, bioinformatics, or a related quantitative discipline. Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Strong track record in statistical genetics, computational biology, and multi-omics data analysis, including transcriptomics. High proficiency in Python (preferred) and R, with experience working in high-performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. A background in statistical modelling and algorithm development. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact-driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast-paced environments. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Feb 05, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. You will have hands-on experience applying computational methods to real-world therapeutic discovery challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational techniques to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art statistical and computational tools. Your responsibilities Develop and implement scalable computational workflows for the analysis of multi-omics and population genetics datasets. Lead multi-modal data integration efforts to uncover disease biology, prioritise mechanisms, and identify actionable targets. Design and apply statistical models for analysing genomics, transcriptomics, and other omics datasets. Partner closely with experimental and machine learning teams to validate hypotheses, interpret results, and guide downstream studies. Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in genomics, computational biology, bioinformatics, or a related quantitative discipline. Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Strong track record in statistical genetics, computational biology, and multi-omics data analysis, including transcriptomics. High proficiency in Python (preferred) and R, with experience working in high-performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. A background in statistical modelling and algorithm development. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact-driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast-paced environments. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
A leading biotech company in London is looking for a Data Scientist to leverage multi-omics data for drug discovery. The successful candidate will develop computational workflows, lead data integration efforts, and apply statistical models to uncover disease biology. Candidates should possess a PhD in a relevant discipline and have a strong background in statistical genetics and computational biology, with proficiency in Python and R. Join a dynamic team making an impactful difference in patient outcomes.
Feb 04, 2026
Full time
A leading biotech company in London is looking for a Data Scientist to leverage multi-omics data for drug discovery. The successful candidate will develop computational workflows, lead data integration efforts, and apply statistical models to uncover disease biology. Candidates should possess a PhD in a relevant discipline and have a strong background in statistical genetics and computational biology, with proficiency in Python and R. Join a dynamic team making an impactful difference in patient outcomes.
Principal Automation Scientist, In Vitro Cell based Screening and Mechanistic Profiling Category: Research Location: Oxford, South East, GB This role isn't just about doing science - it's about reinventing how it's done. As a subject matter expert you will lead initiatives to transform functional genomics and cell based screening through automation and application of digital tools, turning in vitro discovery into a smarter, faster engine for breakthrough targets. Your new role As a Principal Automation Scientist in the In Vitro Discovery & Delivery (IDD) department, you will define and deploy automation solutions and implement digital applications to accelerate data generation for in vitro functional genomics, cell based screening, and large scale mechanistic profiling. You will lead the design, deployment and adoption of automated solutions tailored to complex in vitro cell based workflows, drive the choice and use of digital data applications and FAIR aligned practices to scale throughput, and ensure reproducibility for predictive target discovery across the IDD team based in Oxford. You will be instrumental in the team's ability to generate high quality multi modal datasets to improve the probability of success for novel targets and pipeline projects, supporting more informed target nominations and de risking portfolio decisions. Your responsibilities will include: Strategic leadership: Define roadmaps and cross functional programs to transform in vitro target discovery through automation, advanced data capture and multi omic integration. Automation & digital systems: Evaluate and implement scalable, production ready solutions (robotics, LIMS/ELN integrations, data and imaging pipelines) to standardise experimental execution and data capture. FAIR data & tooling: Drive enterprise adoption of FAIR principles; set metadata, data model and standards and champion data provenance and accessibility. Advanced analysis & ML: Oversee statistical frameworks, scalable analysis pipelines and fuel machine learning models with data for predictive target discovery; ensure validation, explainability and deployment. Stakeholder engagement: Act as senior partner to Target Discovery, Functional Genomics, Technology Leaders, Digital Biology, Biology AI, IDD US and Novo Nordisk automation engineers; build external collaborations with vendors, CROs, academia and industry partners. Your new department The In Vitro Discovery & Delivery (IDD) department, based at Novo Nordisk Research Centre in Oxford is part of Novo Nordisk Global Research. As a state of the art target discovery and validation research department, it is responsible for identifying novel targets with mechanisms of action for diseases aligned with Novo Nordisk therapy area priorities. The centre uses innovative and unbiased in silico and in vitro human centric collaborative approaches to identify new therapeutic opportunities for type 2 diabetes and obesity, and their associated cardiometabolic co morbidities including MASH, and cardiovascular disease. The department also drives productive collaborations with academia (particularly the University of Oxford) and biotechnology partners. The In Vitro Science team is part of a global organisation, including a team based at the Novo Nordisk research centre in Boston. Together, we work closely with our therapy area partners in the Global Research in Boston and Denmark to progress novel targets into Novo Nordisk's early project pipeline. Your skills & qualifications PhD or MSc in life sciences, computational biology, or related field. Extensive experience with medium to high throughput in vitro functional genomics and cell based screening, automation and digital workflows. Proven track record implementing FAIR data practices and deploying digital tools to support data analytics at scale, ensuring future proof data usage. Strong coding, data engineering and automation platform experience; familiarity with cloud/ML pipelines desirable. Outstanding communication abilities and effective interpersonal collaboration skills. Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. Deadline 13th February 2026. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we're driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
Feb 03, 2026
Full time
Principal Automation Scientist, In Vitro Cell based Screening and Mechanistic Profiling Category: Research Location: Oxford, South East, GB This role isn't just about doing science - it's about reinventing how it's done. As a subject matter expert you will lead initiatives to transform functional genomics and cell based screening through automation and application of digital tools, turning in vitro discovery into a smarter, faster engine for breakthrough targets. Your new role As a Principal Automation Scientist in the In Vitro Discovery & Delivery (IDD) department, you will define and deploy automation solutions and implement digital applications to accelerate data generation for in vitro functional genomics, cell based screening, and large scale mechanistic profiling. You will lead the design, deployment and adoption of automated solutions tailored to complex in vitro cell based workflows, drive the choice and use of digital data applications and FAIR aligned practices to scale throughput, and ensure reproducibility for predictive target discovery across the IDD team based in Oxford. You will be instrumental in the team's ability to generate high quality multi modal datasets to improve the probability of success for novel targets and pipeline projects, supporting more informed target nominations and de risking portfolio decisions. Your responsibilities will include: Strategic leadership: Define roadmaps and cross functional programs to transform in vitro target discovery through automation, advanced data capture and multi omic integration. Automation & digital systems: Evaluate and implement scalable, production ready solutions (robotics, LIMS/ELN integrations, data and imaging pipelines) to standardise experimental execution and data capture. FAIR data & tooling: Drive enterprise adoption of FAIR principles; set metadata, data model and standards and champion data provenance and accessibility. Advanced analysis & ML: Oversee statistical frameworks, scalable analysis pipelines and fuel machine learning models with data for predictive target discovery; ensure validation, explainability and deployment. Stakeholder engagement: Act as senior partner to Target Discovery, Functional Genomics, Technology Leaders, Digital Biology, Biology AI, IDD US and Novo Nordisk automation engineers; build external collaborations with vendors, CROs, academia and industry partners. Your new department The In Vitro Discovery & Delivery (IDD) department, based at Novo Nordisk Research Centre in Oxford is part of Novo Nordisk Global Research. As a state of the art target discovery and validation research department, it is responsible for identifying novel targets with mechanisms of action for diseases aligned with Novo Nordisk therapy area priorities. The centre uses innovative and unbiased in silico and in vitro human centric collaborative approaches to identify new therapeutic opportunities for type 2 diabetes and obesity, and their associated cardiometabolic co morbidities including MASH, and cardiovascular disease. The department also drives productive collaborations with academia (particularly the University of Oxford) and biotechnology partners. The In Vitro Science team is part of a global organisation, including a team based at the Novo Nordisk research centre in Boston. Together, we work closely with our therapy area partners in the Global Research in Boston and Denmark to progress novel targets into Novo Nordisk's early project pipeline. Your skills & qualifications PhD or MSc in life sciences, computational biology, or related field. Extensive experience with medium to high throughput in vitro functional genomics and cell based screening, automation and digital workflows. Proven track record implementing FAIR data practices and deploying digital tools to support data analytics at scale, ensuring future proof data usage. Strong coding, data engineering and automation platform experience; familiarity with cloud/ML pipelines desirable. Outstanding communication abilities and effective interpersonal collaboration skills. Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. Deadline 13th February 2026. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we're driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Feb 03, 2026
Full time
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Your work will change lives. Including your own. The Impact You'll Make At Recursion, we are reimagining drug discovery. As a Senior or Staff Product Manager, you will take ownership of our molecular design platform. You will be at the center of our Design Make Test Learn (DMTL) loop, creating the tools that empower our scientists to design novel, high quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives. In this role, you will: Own the Vision: Develop and champion a compelling product vision and strategic roadmap for our molecular design platform, aligning scientific needs with Recursion's mission to industrialize drug discovery. Be the Customer's Voice: Act as the vital bridge between our scientists (your customers) and our technical teams. You will be deeply embedded with medicinal and computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross functional team of world class cheminformaticians, AI/ML scientists, and engineers to deliver high impact tools, from synthesis aware generative models to advanced physics based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You will help standardize workflows, eliminate bottlenecks, and build the foundational infrastructure needed for a truly scalable discovery engine. Measure What Matters: Define and analyze metrics for product success, tool adoption, and scientific impact to ensure your team is focused on the most critical priorities for accelerating our drug discovery programs. Communicate and Influence: Articulate strategy and progress to stakeholders at all levels, from individual scientists to the executive leadership team, ensuring alignment and excitement around our shared vision. The Team You'll Join You will be a core member of the Design Workflow team, an interdisciplinary team responsible for the end to end development and operation of our molecular design platform. We are the orchestration engine for the Hit to Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a "Build & Operate" philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio. The Experience You'll Need 3+ years (Senior) or 5+ years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer centric product principles, whether in an external facing role or by successfully treating internal users as customers. You are passionate about user research and feedback driven development. Exceptional systems thinking skills; you can deconstruct complex scientific and technical workflows, identify key leverage points, and design elegant, scalable solutions. Outstanding communication and influencing skills, with the ability to build strong relationships and align cross functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation: This is an office based, hybrid position at either our London or Milton Park office located in London or Oxford, England. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 to £116,100 (GBP). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Feb 02, 2026
Full time
Your work will change lives. Including your own. The Impact You'll Make At Recursion, we are reimagining drug discovery. As a Senior or Staff Product Manager, you will take ownership of our molecular design platform. You will be at the center of our Design Make Test Learn (DMTL) loop, creating the tools that empower our scientists to design novel, high quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives. In this role, you will: Own the Vision: Develop and champion a compelling product vision and strategic roadmap for our molecular design platform, aligning scientific needs with Recursion's mission to industrialize drug discovery. Be the Customer's Voice: Act as the vital bridge between our scientists (your customers) and our technical teams. You will be deeply embedded with medicinal and computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross functional team of world class cheminformaticians, AI/ML scientists, and engineers to deliver high impact tools, from synthesis aware generative models to advanced physics based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You will help standardize workflows, eliminate bottlenecks, and build the foundational infrastructure needed for a truly scalable discovery engine. Measure What Matters: Define and analyze metrics for product success, tool adoption, and scientific impact to ensure your team is focused on the most critical priorities for accelerating our drug discovery programs. Communicate and Influence: Articulate strategy and progress to stakeholders at all levels, from individual scientists to the executive leadership team, ensuring alignment and excitement around our shared vision. The Team You'll Join You will be a core member of the Design Workflow team, an interdisciplinary team responsible for the end to end development and operation of our molecular design platform. We are the orchestration engine for the Hit to Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a "Build & Operate" philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio. The Experience You'll Need 3+ years (Senior) or 5+ years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer centric product principles, whether in an external facing role or by successfully treating internal users as customers. You are passionate about user research and feedback driven development. Exceptional systems thinking skills; you can deconstruct complex scientific and technical workflows, identify key leverage points, and design elegant, scalable solutions. Outstanding communication and influencing skills, with the ability to build strong relationships and align cross functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation: This is an office based, hybrid position at either our London or Milton Park office located in London or Oxford, England. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 to £116,100 (GBP). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Job Role: We are looking for dynamic, creative, and talented computational chemist to join our expanding Discovery & Medicinal Chemistry Department. Reporting to the Director of Medicinal Chemistry, you will apply your expertise, leadership and guidance to discover and develop novel small-molecule therapeutic agents. You will be working within a patient-focused, science-driven, and multi-disciplinary biopharmaceutical environment, covering all stages of the drug discovery process. You will collaborate with scientists from other disciplines within Jazz Pharmaceuticals and with external collaborators to build an innovative portfolio of therapeutics across our exciting and growing oncology and neuroscience pipelines. Working at the forefront of drug discovery you will advance projects from target selection to preclinical drug candidates and FiH trials, and contribute to the growth of the medicinal chemistry team. Key Responsibilities: Utilize modern molecular modelling methods to support different stages of R&D programs. Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates. Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables. Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours. Set the vision and strategy for computational chemistry. Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry. Manage CRO compchem activities, providing expertise and guidance. Present plans and results internally, including at board level, and externally at conferences. Contribute to the writing of patent applications, scientific publications, and internal reports. Develop and mentor less experienced staff. Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies. Undertake ongoing professional development by attending relevant training and conferences. Requirements & Qualifications: MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting. Expert knowledge in CADD software packages and modern molecular modelling techniques. Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies. Passion for drug discovery with a deep entrepreneurial and problem-solving attitude. Mastery of all the theoretical and practical principles of medicinal chemistry and drug design. Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process. In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems. Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame. Demonstrated track record of scientific publications. Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Nov 17, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Job Role: We are looking for dynamic, creative, and talented computational chemist to join our expanding Discovery & Medicinal Chemistry Department. Reporting to the Director of Medicinal Chemistry, you will apply your expertise, leadership and guidance to discover and develop novel small-molecule therapeutic agents. You will be working within a patient-focused, science-driven, and multi-disciplinary biopharmaceutical environment, covering all stages of the drug discovery process. You will collaborate with scientists from other disciplines within Jazz Pharmaceuticals and with external collaborators to build an innovative portfolio of therapeutics across our exciting and growing oncology and neuroscience pipelines. Working at the forefront of drug discovery you will advance projects from target selection to preclinical drug candidates and FiH trials, and contribute to the growth of the medicinal chemistry team. Key Responsibilities: Utilize modern molecular modelling methods to support different stages of R&D programs. Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates. Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables. Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours. Set the vision and strategy for computational chemistry. Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry. Manage CRO compchem activities, providing expertise and guidance. Present plans and results internally, including at board level, and externally at conferences. Contribute to the writing of patent applications, scientific publications, and internal reports. Develop and mentor less experienced staff. Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies. Undertake ongoing professional development by attending relevant training and conferences. Requirements & Qualifications: MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting. Expert knowledge in CADD software packages and modern molecular modelling techniques. Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies. Passion for drug discovery with a deep entrepreneurial and problem-solving attitude. Mastery of all the theoretical and practical principles of medicinal chemistry and drug design. Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process. In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems. Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame. Demonstrated track record of scientific publications. Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
