Job type: Full-time Location: Oxford, with hybrid working options available Salary: Competitive salary Right to work: You must have the right to work in the UK Application deadline: 10th April OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems, such as membrane proteins or intracellular complexes. The company's unique OdyssION technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry and custom formatted compound libraries for ultra-high throughput screening. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs, with biophysical platform technologies at the core of drug discovery. We are seeking a Computational Chemist. You will be part of a dynamic and innovative environment and will become an integral part of our vision to address patients' unmet needs while building Britain's Biggest Biotech. You will use your cheminformatics/computational chemistry expertise and scientific curiosity to solve drug discovery challenges, as part of multi-disciplinary project teams. You will be able to work in state-of-the-art laboratory and modern facilities for optimum collaboration alongside a focused and caring team. You will already possess expert Computational Chemistry knowledge with experience in both Ligand and Structure-Based Design with industry experience in small molecule drug discovery. Discover more about OMass and our Employee Value Proposition. Essential Experience, Skills and Qualities Ph.D. in cheminformatics/computational chemistry or equivalent industrial experience. A significant amount of relevant industry experience in small molecule drug discovery across multiple projects from hit finding to candidate selection. An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, generative molecular design approaches, SBDD, LBDD, ADME modelling, structural biology and drug safety/toxicology. Proficiency in scientific scripting for prototyping workflows (e.g., Python, Java, C++), enabling the delivery of project specific outputs such as executing virtual screens. Proficient with classical machine/deep learning model development. Innovative and ambitious mindset, with an inquisitive and agile approach to problem-solving and overcoming technical challenges; motivated to continuously learn and take on challenges. Caring and inclusive; respectful and receptive to others' diverse ideas, experience and perspectives, and enjoys working collaboratively with others as a team. Excellent communication skills, both written and verbal. Preferred Experience and Skills Experience of working across multiple target-types including membrane bound GPCRs & solute carriers and soluble proteins. Familiarity with Dotmatics and Schrodinger software suites in addition to a sound knowledge of chemical toolkits (e.g. RDKit) is preferred. Demonstrated ability to critically assess and communicate QSAR/ machine learning model limitations, uncertainty, and suitability for program use. Experience centred on lead optimisation and later stage project cycles, with the capability to independently lead the computational elements of the design-make-test-analyse (DMTA) cycle Experience of working in a matrix team. Role Responsibilities Promote and maintain the highest levels of scientific excellence in computational chemistry, to help deliver OMass' pipeline objectives. Contribute to drug discovery projects by proactively applying cheminformatics and computational chemistry techniques to drive programs forward, providing hands on program support and scientific partnership to project teams. Support and upskill project medicinal chemists by delivering training, coaching and practical guidance in computational chemistry approaches, tools and best practices. Publish science in high quality journals and publications. Give presentations on OMass' projects both at internal meetings and externally at conferences. Foster collaborations with academia to help ensure that the team operates at the highest levels of scientific excellence. Share information openly and work collaboratively with other departments to help advance different projects and achieve company goals. Promote and adhere to OMass' values of being Ambitious, Responsible, Innovative, Focused, Caring and Collaborative. Benefits Private Health Insurance Health and wellbeing cashback scheme Life Assurance and Income Protection Participation in Employee Equity Scheme 25 days annual leave, plus bank holidays Pension Scheme offering 6% employer contribution Learning and Development Opportunities Company social events Any queries relating to the role can be sent to . OMass Therapeutics values diversity and is committed to equality of opportunity, we also have full responsibility to ensure that all employees are eligible to work and live in the UK.
Apr 18, 2026
Full time
Job type: Full-time Location: Oxford, with hybrid working options available Salary: Competitive salary Right to work: You must have the right to work in the UK Application deadline: 10th April OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems, such as membrane proteins or intracellular complexes. The company's unique OdyssION technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry and custom formatted compound libraries for ultra-high throughput screening. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs, with biophysical platform technologies at the core of drug discovery. We are seeking a Computational Chemist. You will be part of a dynamic and innovative environment and will become an integral part of our vision to address patients' unmet needs while building Britain's Biggest Biotech. You will use your cheminformatics/computational chemistry expertise and scientific curiosity to solve drug discovery challenges, as part of multi-disciplinary project teams. You will be able to work in state-of-the-art laboratory and modern facilities for optimum collaboration alongside a focused and caring team. You will already possess expert Computational Chemistry knowledge with experience in both Ligand and Structure-Based Design with industry experience in small molecule drug discovery. Discover more about OMass and our Employee Value Proposition. Essential Experience, Skills and Qualities Ph.D. in cheminformatics/computational chemistry or equivalent industrial experience. A significant amount of relevant industry experience in small molecule drug discovery across multiple projects from hit finding to candidate selection. An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, generative molecular design approaches, SBDD, LBDD, ADME modelling, structural biology and drug safety/toxicology. Proficiency in scientific scripting for prototyping workflows (e.g., Python, Java, C++), enabling the delivery of project specific outputs such as executing virtual screens. Proficient with classical machine/deep learning model development. Innovative and ambitious mindset, with an inquisitive and agile approach to problem-solving and overcoming technical challenges; motivated to continuously learn and take on challenges. Caring and inclusive; respectful and receptive to others' diverse ideas, experience and perspectives, and enjoys working collaboratively with others as a team. Excellent communication skills, both written and verbal. Preferred Experience and Skills Experience of working across multiple target-types including membrane bound GPCRs & solute carriers and soluble proteins. Familiarity with Dotmatics and Schrodinger software suites in addition to a sound knowledge of chemical toolkits (e.g. RDKit) is preferred. Demonstrated ability to critically assess and communicate QSAR/ machine learning model limitations, uncertainty, and suitability for program use. Experience centred on lead optimisation and later stage project cycles, with the capability to independently lead the computational elements of the design-make-test-analyse (DMTA) cycle Experience of working in a matrix team. Role Responsibilities Promote and maintain the highest levels of scientific excellence in computational chemistry, to help deliver OMass' pipeline objectives. Contribute to drug discovery projects by proactively applying cheminformatics and computational chemistry techniques to drive programs forward, providing hands on program support and scientific partnership to project teams. Support and upskill project medicinal chemists by delivering training, coaching and practical guidance in computational chemistry approaches, tools and best practices. Publish science in high quality journals and publications. Give presentations on OMass' projects both at internal meetings and externally at conferences. Foster collaborations with academia to help ensure that the team operates at the highest levels of scientific excellence. Share information openly and work collaboratively with other departments to help advance different projects and achieve company goals. Promote and adhere to OMass' values of being Ambitious, Responsible, Innovative, Focused, Caring and Collaborative. Benefits Private Health Insurance Health and wellbeing cashback scheme Life Assurance and Income Protection Participation in Employee Equity Scheme 25 days annual leave, plus bank holidays Pension Scheme offering 6% employer contribution Learning and Development Opportunities Company social events Any queries relating to the role can be sent to . OMass Therapeutics values diversity and is committed to equality of opportunity, we also have full responsibility to ensure that all employees are eligible to work and live in the UK.
Site Name: UK - Hertfordshire - Stevenage Posted Date: Mar We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. Senior Scientist - Translational Science (Immunology) As a Senior Scientist in the Translational Unit, you will play a critical role in bridging preclinical target and asset validation and early clinical proof of concept studies in the immunology and respiratory space, working closely with biology and translational leads, clinical and computational scientists. Responsibilities Support identification and validation of clinical biomarkers and development of clinically deployable biomarker assays, including ELISA-based and flow cytometry-based readouts. Utilise your expertise in immunology to assist in the design, optimisation, and conduct of in vitro and ex vivo translational assays using primary human cells and tissues. Apply expertise in multiple capabilities such as flow cytometry, ELISA/MSD/Luminex, gene/protein expression analysis, cell and tissue imaging, proteomics, and other omics platforms. Troubleshoot assays effectively and develop alternative approaches when necessary, working closely with preclinical statistics and other relevant teams to ensure robust study design. Present findings to internal teams and stakeholders in a clear and precise manner while maintaining accurate and detailed laboratory records to ensure compliance with data integrity expectations and safety guidelines. Foster a culture of innovation, collaboration, and continuous learning within the translational research team and ensure compliance with all applicable laws, regulations, and ethical standards. Basic Qualifications & Skills PhD (or MSc with equivalent relevant laboratory experience) in Cell Biology, Molecular Biology, Immunology or related field. Expertise in developing and performing multi-color flow cytometry, gene expression analysis, immunoassays (ELISA, MSD or Luminex), primary cell culture techniques, and biomarker assays. Experience processing human biological samples, developing B cell, T cell and myeloid cell functional readouts, flexibility to adopt new technologies. Ability to understand, interpret, and communicate complex scientific data. Strong written and verbal communication skills, with the ability to effectively present scientific findings to internal and external stakeholders in a balanced, clear, and precise manner. Excellent record keeping and organisational skills. Proven ability to balance priorities across multiple objectives, meeting timelines while maintaining attention to detail and high-performance standards. Preferred Qualifications & Skills Background and expertise in autoimmune, respiratory, and immune-mediated diseases. Previous experience in pharma or biotech industry; understanding of drug discovery processes including small and large molecule development. Knowledge of regulatory guidelines and compliance requirements related to translational research and clinical development. Closing Date for Applications - 19th April 2026 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Apr 17, 2026
Full time
Site Name: UK - Hertfordshire - Stevenage Posted Date: Mar We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. Senior Scientist - Translational Science (Immunology) As a Senior Scientist in the Translational Unit, you will play a critical role in bridging preclinical target and asset validation and early clinical proof of concept studies in the immunology and respiratory space, working closely with biology and translational leads, clinical and computational scientists. Responsibilities Support identification and validation of clinical biomarkers and development of clinically deployable biomarker assays, including ELISA-based and flow cytometry-based readouts. Utilise your expertise in immunology to assist in the design, optimisation, and conduct of in vitro and ex vivo translational assays using primary human cells and tissues. Apply expertise in multiple capabilities such as flow cytometry, ELISA/MSD/Luminex, gene/protein expression analysis, cell and tissue imaging, proteomics, and other omics platforms. Troubleshoot assays effectively and develop alternative approaches when necessary, working closely with preclinical statistics and other relevant teams to ensure robust study design. Present findings to internal teams and stakeholders in a clear and precise manner while maintaining accurate and detailed laboratory records to ensure compliance with data integrity expectations and safety guidelines. Foster a culture of innovation, collaboration, and continuous learning within the translational research team and ensure compliance with all applicable laws, regulations, and ethical standards. Basic Qualifications & Skills PhD (or MSc with equivalent relevant laboratory experience) in Cell Biology, Molecular Biology, Immunology or related field. Expertise in developing and performing multi-color flow cytometry, gene expression analysis, immunoassays (ELISA, MSD or Luminex), primary cell culture techniques, and biomarker assays. Experience processing human biological samples, developing B cell, T cell and myeloid cell functional readouts, flexibility to adopt new technologies. Ability to understand, interpret, and communicate complex scientific data. Strong written and verbal communication skills, with the ability to effectively present scientific findings to internal and external stakeholders in a balanced, clear, and precise manner. Excellent record keeping and organisational skills. Proven ability to balance priorities across multiple objectives, meeting timelines while maintaining attention to detail and high-performance standards. Preferred Qualifications & Skills Background and expertise in autoimmune, respiratory, and immune-mediated diseases. Previous experience in pharma or biotech industry; understanding of drug discovery processes including small and large molecule development. Knowledge of regulatory guidelines and compliance requirements related to translational research and clinical development. Closing Date for Applications - 19th April 2026 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Apr 17, 2026
Full time
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Apr 17, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
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 We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying 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.
Apr 14, 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 We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying 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 Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. 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.
Apr 14, 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 Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. 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.
Your work will change lives. Including your own. The Impact You'll Make We are seeking an experienced Senior Scientist in Automation/Medicinal Chemistry to accelerate our internal and partnership drug discovery portfolio. This role, bridging AI-enabled design and cutting-edge automated synthesis, is central to our mission. Operating our Milton Park site, you will take ownership for delivery of compounds through our state-of-the-art Automation Studio and, by collaborating closely with drug designers, drive impactful outcomes for drug discovery programs within our pipeline. You will have a track record of leadership from the lab, and combine deep medicinal and synthetic chemistry expertise with a commitment to modernizing the drug discovery process. A self-starter who can lead effectively from the bench and operate strategically. In this role, you will: Design, prioritise, and tactically execute synthetic routes for small molecule targets, strategically using our Chemistry Automation Platform, our well-equipped traditional synthesis laboratories and CRO support to meet project goals on tight timelines. Build a strong collaborative partnership with computational and medicinal chemists to use the full capabilities of both the Centaur Chemist (design) and Chemistry Automation (synthesis) platforms including optimising methodologies, workflows, and best practices. Adapt core synthetic medicinal chemistry tactics onto the automation platform by collaborating with software developers and module owners, validating feasibility, defining safe and scalable conditions, and documenting processes clearly for reuse. Act as primary medicinal chemist supporting a drug discovery project accountable for deliverables and ensuring successful outcomes, working with a senior project lead for program level strategy. The Team You'll Join You'll join the Milton Park based Chemistry Automation group, a multidisciplinary team of chemists and automation specialists who partner closely with discovery and platform teams across Recursion. The group operates a state-of-the-art Chemistry Automation Platform supported by well-equipped synthesis and spectroscopy laboratories, that combines automated synthesis and purification, high-throughput experimentation, and integrated analytical workflows to deliver high-quality small-molecule synthesis for our discovery portfolio. You will work closely with the drug design groups as part of the wider chemistry function, and be embedded into a program team tasked with advancing internal or partnership drug discovery programs leveraging the Recursion platform. The Experience You'll Need Ph.D. in Organic or Medicinal Chemistry, or a BSc/MSc degree with equivalent industry experience. In addition, significant relevant industry experience and evidence of impact. Proven ability to design, prioritize, and tactically execute small molecule drug discovery, including expertise in route design, optimising challenging reaction conditions and prosecuting medicinal chemistry with automated synthesis. Experience in the application of automation in synthesis in an industrial setting (e.g. use of liquid handling or powder dispensing for library synthesis, HTE for reaction optimisation, flow chemistry) with enthusiasm to work directly with automated systems. Excellent interpersonal and communication skills, both written and verbal, with ability to influence and work cross-functionally to ensure alignment on priorities, facilitating collaboration. Fluency in modern medicinal and computational chemistry software tools such as workflow builders, basic cheminformatics packages, structure based design and data visualisation tools. Working Location & Compensation: This is a lab-based role in our Milton Park site. Employees are expected to work on-site 100% of the time, with occasional flexibility. 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 £70,400to £93,500. 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 decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting. Recursion's platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at , or connect on X 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.
Apr 14, 2026
Full time
Your work will change lives. Including your own. The Impact You'll Make We are seeking an experienced Senior Scientist in Automation/Medicinal Chemistry to accelerate our internal and partnership drug discovery portfolio. This role, bridging AI-enabled design and cutting-edge automated synthesis, is central to our mission. Operating our Milton Park site, you will take ownership for delivery of compounds through our state-of-the-art Automation Studio and, by collaborating closely with drug designers, drive impactful outcomes for drug discovery programs within our pipeline. You will have a track record of leadership from the lab, and combine deep medicinal and synthetic chemistry expertise with a commitment to modernizing the drug discovery process. A self-starter who can lead effectively from the bench and operate strategically. In this role, you will: Design, prioritise, and tactically execute synthetic routes for small molecule targets, strategically using our Chemistry Automation Platform, our well-equipped traditional synthesis laboratories and CRO support to meet project goals on tight timelines. Build a strong collaborative partnership with computational and medicinal chemists to use the full capabilities of both the Centaur Chemist (design) and Chemistry Automation (synthesis) platforms including optimising methodologies, workflows, and best practices. Adapt core synthetic medicinal chemistry tactics onto the automation platform by collaborating with software developers and module owners, validating feasibility, defining safe and scalable conditions, and documenting processes clearly for reuse. Act as primary medicinal chemist supporting a drug discovery project accountable for deliverables and ensuring successful outcomes, working with a senior project lead for program level strategy. The Team You'll Join You'll join the Milton Park based Chemistry Automation group, a multidisciplinary team of chemists and automation specialists who partner closely with discovery and platform teams across Recursion. The group operates a state-of-the-art Chemistry Automation Platform supported by well-equipped synthesis and spectroscopy laboratories, that combines automated synthesis and purification, high-throughput experimentation, and integrated analytical workflows to deliver high-quality small-molecule synthesis for our discovery portfolio. You will work closely with the drug design groups as part of the wider chemistry function, and be embedded into a program team tasked with advancing internal or partnership drug discovery programs leveraging the Recursion platform. The Experience You'll Need Ph.D. in Organic or Medicinal Chemistry, or a BSc/MSc degree with equivalent industry experience. In addition, significant relevant industry experience and evidence of impact. Proven ability to design, prioritize, and tactically execute small molecule drug discovery, including expertise in route design, optimising challenging reaction conditions and prosecuting medicinal chemistry with automated synthesis. Experience in the application of automation in synthesis in an industrial setting (e.g. use of liquid handling or powder dispensing for library synthesis, HTE for reaction optimisation, flow chemistry) with enthusiasm to work directly with automated systems. Excellent interpersonal and communication skills, both written and verbal, with ability to influence and work cross-functionally to ensure alignment on priorities, facilitating collaboration. Fluency in modern medicinal and computational chemistry software tools such as workflow builders, basic cheminformatics packages, structure based design and data visualisation tools. Working Location & Compensation: This is a lab-based role in our Milton Park site. Employees are expected to work on-site 100% of the time, with occasional flexibility. 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 £70,400to £93,500. 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 decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting. Recursion's platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at , or connect on X 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.
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: .
Oct 04, 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: .
