A leading biotech company in London seeks a Data Scientist to leverage multi-omics data for drug discovery. The successful candidate will develop computational workflows, analyze biological data, and work closely with interdisciplinary teams. The role requires a PhD in a quantitative discipline and strong programming skills in Python. Passion for improving patients' lives and experience with high-dimensional data are essential for making a significant impact in transforming therapies.
04/02/2026
Full time
A leading biotech company in London seeks a Data Scientist to leverage multi-omics data for drug discovery. The successful candidate will develop computational workflows, analyze biological data, and work closely with interdisciplinary teams. The role requires a PhD in a quantitative discipline and strong programming skills in Python. Passion for improving patients' lives and experience with high-dimensional data are essential for making a significant impact in transforming therapies.
A leading biotech company in Greater London seeks a data scientist to drive insights into drug discovery through multi-omics data. You will develop computational workflows, identify actionable targets, and collaborate with interdisciplinary teams. Ideal candidates hold a PhD in genomics or related fields with strong skills in quantitative genomics, Python, and data analysis. This role offers a unique opportunity to contribute to innovative therapeutic discoveries that improve patient outcomes.
04/02/2026
Full time
A leading biotech company in Greater London seeks a data scientist to drive insights into drug discovery through multi-omics data. You will develop computational workflows, identify actionable targets, and collaborate with interdisciplinary teams. Ideal candidates hold a PhD in genomics or related fields with strong skills in quantitative genomics, Python, and data analysis. This role offers a unique opportunity to contribute to innovative therapeutic discoveries that improve patient outcomes.
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. Over a 12-month period, you will gain 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 computational workflows for analysing multi-omics and population genetics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Apply statistical models for analysing genomics, transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in genomics, computational biology, bioinformatics, or a related quantitative field. Experience in either quantitative genomics, statistical genetics, bioinformatics, multi-omics data analysis. Proficiency in Python (preferred), R, and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Experience in building bioinformatic pipelines. Personally, you are 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.
04/02/2026
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. Over a 12-month period, you will gain 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 computational workflows for analysing multi-omics and population genetics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Apply statistical models for analysing genomics, transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in genomics, computational biology, bioinformatics, or a related quantitative field. Experience in either quantitative genomics, statistical genetics, bioinformatics, multi-omics data analysis. Proficiency in Python (preferred), R, and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Experience in building bioinformatic pipelines. Personally, you are 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.
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. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities. Design and apply statistical and computational models for analysing transcriptomics and related omics data. Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models. Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions. Partner with experimental scientists to help formulate, test, and validate computational hypotheses. Communicate findings clearly through internal presentations and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline. Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets. Proficiency in Python, with experience working in high-performance or cloud computing environments. Desirable knowledge or experiences Experience with single-cell and/or spatial omics data, including patient-derived datasets. Familiarity with machine-learning approaches applied to biological data. A solid grounding in statistical modelling, algorithm development, or data integration methods. Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering. Personally, you are A collaborative, inclusive team player. A clear and thoughtful communicator. Impact-driven, curious, and motivated to learn. Humble, open-minded, and comfortable working in ambiguity. Passionate about using data and science to improve patients' lives. 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.
04/02/2026
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. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities. Design and apply statistical and computational models for analysing transcriptomics and related omics data. Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models. Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions. Partner with experimental scientists to help formulate, test, and validate computational hypotheses. Communicate findings clearly through internal presentations and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline. Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets. Proficiency in Python, with experience working in high-performance or cloud computing environments. Desirable knowledge or experiences Experience with single-cell and/or spatial omics data, including patient-derived datasets. Familiarity with machine-learning approaches applied to biological data. A solid grounding in statistical modelling, algorithm development, or data integration methods. Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering. Personally, you are A collaborative, inclusive team player. A clear and thoughtful communicator. Impact-driven, curious, and motivated to learn. Humble, open-minded, and comfortable working in ambiguity. Passionate about using data and science to improve patients' lives. 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.
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.
04/02/2026
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.
04/02/2026
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.
About Relation We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will 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. We are committed to building diverse and inclusive teams. We are an equal opportunities employer and do 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 strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential. By joining Relation, you will be part of an exceptionally talented team, you'll have extraordinary leverage to push the field of drug discovery, and you'll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients' lives The opportunity As a Software Engineer in our Platform Team, you will join the engineering team in a role pivotal to our mission to revolutionize target discovery and validation using advanced machine learning models. You will work closely with the Machine Learning and Data Science teams, designing and scaling our hybrid compute cluster, building core-platform services, ensuring optimal performance, reliability, and scalability. Role responsibilities Develop, evolve, and contribute to the architectural strategy for our Kubernetes-based clusters spread across our private cloud and multiple public clouds. Engineer and manage the full-lifecycle of internal and public-facing applications, APIs, and services. Enhance continuous integration and continuous delivery pipelines, facilitating efficient development, testing, and deployment processes Establish comprehensive monitoring solutions to proactively detect and resolve issues. Ensure robust backup, disaster recovery, and failover strategies are in place. Enforce best practices and security measures to protect sensitive data and comply with industry standards. Work closely with Machine Learning and Data Science teams to understand their computational needs and challenges. Provide expert guidance and support to ensure their success Professionally, you have A Bachelor's in Computer Science or a related quantitative field. A minimum of 3 years of combined experience in software engineering, with a demonstrated ability to design, deploy, and manage cloud infrastructure and Kubernetes clusters. Bonus: experience developing and deploying applications on Kubernetes. Solid experience in setting up and maintaining CI/CD pipelines using tools like GitHub Actions and ArgoCD. Experience with infrastructure as code (IaC) tools such as Terraform. Solid Python coding experience, with the ability to write clean, efficient, and maintainable code. Bonus: experience with Go. Excellent analytical and troubleshooting skills, with a systematic approach to solving complex problems. Strong verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams. Bonus: experience with DataOps and MLOPs Personally, you are A great team player A clear communicator Driven by impact Humble and hungry to learn Motivated and curious Passionate about making a difference in patients' lives 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.
02/02/2026
Full time
About Relation We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will 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. We are committed to building diverse and inclusive teams. We are an equal opportunities employer and do 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 strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential. By joining Relation, you will be part of an exceptionally talented team, you'll have extraordinary leverage to push the field of drug discovery, and you'll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients' lives The opportunity As a Software Engineer in our Platform Team, you will join the engineering team in a role pivotal to our mission to revolutionize target discovery and validation using advanced machine learning models. You will work closely with the Machine Learning and Data Science teams, designing and scaling our hybrid compute cluster, building core-platform services, ensuring optimal performance, reliability, and scalability. Role responsibilities Develop, evolve, and contribute to the architectural strategy for our Kubernetes-based clusters spread across our private cloud and multiple public clouds. Engineer and manage the full-lifecycle of internal and public-facing applications, APIs, and services. Enhance continuous integration and continuous delivery pipelines, facilitating efficient development, testing, and deployment processes Establish comprehensive monitoring solutions to proactively detect and resolve issues. Ensure robust backup, disaster recovery, and failover strategies are in place. Enforce best practices and security measures to protect sensitive data and comply with industry standards. Work closely with Machine Learning and Data Science teams to understand their computational needs and challenges. Provide expert guidance and support to ensure their success Professionally, you have A Bachelor's in Computer Science or a related quantitative field. A minimum of 3 years of combined experience in software engineering, with a demonstrated ability to design, deploy, and manage cloud infrastructure and Kubernetes clusters. Bonus: experience developing and deploying applications on Kubernetes. Solid experience in setting up and maintaining CI/CD pipelines using tools like GitHub Actions and ArgoCD. Experience with infrastructure as code (IaC) tools such as Terraform. Solid Python coding experience, with the ability to write clean, efficient, and maintainable code. Bonus: experience with Go. Excellent analytical and troubleshooting skills, with a systematic approach to solving complex problems. Strong verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams. Bonus: experience with DataOps and MLOPs Personally, you are A great team player A clear communicator Driven by impact Humble and hungry to learn Motivated and curious Passionate about making a difference in patients' lives 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.
An innovative biotech company in Greater London is seeking a Software Engineer to join their Platform Team. In this role, you will design and manage Kubernetes-based infrastructure while collaborating closely with Machine Learning and Data Science teams. Ideal candidates should have a Bachelor's in Computer Science and a minimum of 3 years of experience in software engineering. Key responsibilities include enhancing CI/CD pipelines and ensuring optimal performance across applications. Join the mission to revolutionize drug discovery and directly impact patients' lives.
02/02/2026
Full time
An innovative biotech company in Greater London is seeking a Software Engineer to join their Platform Team. In this role, you will design and manage Kubernetes-based infrastructure while collaborating closely with Machine Learning and Data Science teams. Ideal candidates should have a Bachelor's in Computer Science and a minimum of 3 years of experience in software engineering. Key responsibilities include enhancing CI/CD pipelines and ensuring optimal performance across applications. Join the mission to revolutionize drug discovery and directly impact patients' lives.
About Relation Relation is a technology-enabled biopharmaceutical company developing medicines across immunology, bone diseases and other future indications. The company builds AI and experimental systems to uncover insights into disease biology that transform the path from discovery to patient impact. Relation has raised over $80 million from leading investors including NVIDIA, DCVC, Magnetic, Ark, Deerfield, Khosla Ventures and GSK. The opportunity This outward-facing role will act as one of Relation's key ambassadors to the external biotech and pharma ecosystem. You'll represent Relation at conferences, industry meetings, and networking events to identify emerging opportunities, scout assets, and establish partnerships that align with Relation's priorities. This is not a transactional BD role focused on deal execution-it's a strategic search & evaluation position designed for someone who thrives on exploring scientific and commercial frontiers, understanding market movements and developing relationships. 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. Key responsibilities Represent Relation at industry conferences, partnering events, and key biopharma meetings Build and maintain relationships with biotechs, investors, and potential collaborators Identify, assess, and prioritise new external opportunities (in-licensing, co-development, or acquisitions) Conduct strategic search and evaluation across therapeutic areas to identify assets and partners Collaborate with scientific and commercial teams to evaluate technical, clinical and strategic fit Support due diligence, valuation modelling, and strategic recommendations for leadership Professional background Background in life sciences with strong scientific literacy and commercial awareness 5-10 years' experience in BD, search and evaluation, or strategy roles within biotech or consulting Outward-facing BD or consulting roles within strategy or corporate development Strong presentation and relationship-building skills across scientific and business communities Capable of supporting opportunity assessment through financial modelling (DCF or scenario-based) Comfortable travelling to conferences and partner meetings globally Personal attributes Naturally outgoing and confident communicator Strategic thinker with an ability to balance scientific and commercial considerations Curious and proactive, able to spot emerging trends early Collaborative and adaptive in a dynamic environment 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.
02/02/2026
Full time
About Relation Relation is a technology-enabled biopharmaceutical company developing medicines across immunology, bone diseases and other future indications. The company builds AI and experimental systems to uncover insights into disease biology that transform the path from discovery to patient impact. Relation has raised over $80 million from leading investors including NVIDIA, DCVC, Magnetic, Ark, Deerfield, Khosla Ventures and GSK. The opportunity This outward-facing role will act as one of Relation's key ambassadors to the external biotech and pharma ecosystem. You'll represent Relation at conferences, industry meetings, and networking events to identify emerging opportunities, scout assets, and establish partnerships that align with Relation's priorities. This is not a transactional BD role focused on deal execution-it's a strategic search & evaluation position designed for someone who thrives on exploring scientific and commercial frontiers, understanding market movements and developing relationships. 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. Key responsibilities Represent Relation at industry conferences, partnering events, and key biopharma meetings Build and maintain relationships with biotechs, investors, and potential collaborators Identify, assess, and prioritise new external opportunities (in-licensing, co-development, or acquisitions) Conduct strategic search and evaluation across therapeutic areas to identify assets and partners Collaborate with scientific and commercial teams to evaluate technical, clinical and strategic fit Support due diligence, valuation modelling, and strategic recommendations for leadership Professional background Background in life sciences with strong scientific literacy and commercial awareness 5-10 years' experience in BD, search and evaluation, or strategy roles within biotech or consulting Outward-facing BD or consulting roles within strategy or corporate development Strong presentation and relationship-building skills across scientific and business communities Capable of supporting opportunity assessment through financial modelling (DCF or scenario-based) Comfortable travelling to conferences and partner meetings globally Personal attributes Naturally outgoing and confident communicator Strategic thinker with an ability to balance scientific and commercial considerations Curious and proactive, able to spot emerging trends early Collaborative and adaptive in a dynamic environment 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.