26 to 37 of 37 Computational Biology Jobs in the UK

the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯

the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯

the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯

in bioinformatics computing coding, in languages including R, Python and other scripting languages as is appropriate. Experience of using high performance computing (HPC) systems for scientific computing. Experience of computational biology research methodologies pertinent to the role. Department/Directorate Information The Data Science Committee is chaired by Professor Trevor Graham, providing academic leadership of data science at More ❯

Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep More ❯

Data Scientist - Single Cell London 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 … you will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation … tasks for ML models. Collaborate closely with ML modellers to develop model architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency More ❯

skills, contributing directly to the success of our startup and the impact of our research. Knowledge & Skills Essential: Minimum of an undergraduate degree in a relevant field (e.g., bioinformatics, biology, molecular biology, genomics, computational biology, computer science, or a related discipline) Knowledge of bioinformatic resources and tools to analyse and interpret sequencing data Experience working in … a plus Experience working in a low or lower middle income country Familiarity with Nextstrain or similar tools for pathogen genomic analysis Experience in wet lab methods for molecular biology or sequencing would be an asset Fluency in French Application Instructions To apply, please submit your CV, two references, and a personal statement outlining how your experience and skills More ❯

the week of 21 July 2025. A full job description and person specification for this role can be accessed below. About you You will have a MSc in bioinformatics, computational biology, computer science, statistical genetics or a discipline with skills transferrable to these domains, or equivalent experience. Experience with data integration, manipulation, and harmonisation is essential as is More ❯

in bioinformatics, computing, and coding in languages such as R, Python, and other scripting languages as appropriate. Experience using high-performance computing (HPC) systems for scientific research. Experience with computational biology research methodologies relevant to the role. Department/Directorate Information The Data Science Committee, chaired by Professor Trevor Graham, provides academic leadership in data science at the … ICR. It aims to maximize the impact of cancer research through innovative data science and computational tools, and to ensure the necessary infrastructure is in place. What we offer A dynamic and supportive research environment Access to state-of-the-art facilities and professional development opportunities Collaboration with leading researchers in the field Competitive salary and pension We encourage More ❯

join theEnsembl management team , working closely with leadership to shape the future of genome annotation. We are looking for an individual with: Strong expertise in genome annotation, bioinformatics, or computational biology Experience in pipeline development, high-performance computing, or machine learning Leadership experience in managing projects, teams, or large-scale collaborations Excellent communication and stakeholder engagement skills Ensembl … Research & Innovation: Stay up to date with the latest research, primary data sources, gene-finding tools, and methodologies in genome annotation. You have A PhD or equivalent in Molecular Biology, Bioinformatics, or a related field, with demonstrated experience in gene annotation. Applicants with an MSc and significant relevant experience will also be considered. Broad knowledge of gene annotation concepts … HPC clusters. Proficiency in at least one programming language (e.g., Python). Strong verbal and written communication skills, with the ability to lead cross-disciplinary teams of biologists and computational scientists. Excellent organisational skills, ensuring deadlines, reports, and procedures are met across the Ensembl project. You may also have Formal project management principles and techniques. Working within a release More ❯

through excellence in communication and quality. Qualifications: Bachelor’s degree in Life Sciences, Computer Science, Information Technology, Engineering, or a related field. Minimum of 2 years of experience in computational biology , solution architecture, product development, systems integration, or similar roles, preferably in the life sciences . Laboratory experience with sufficient computational analytics experience will be considered. Proficiency More ❯

Team The mission of the Chem/Bio team is to equip policymakers with an empirical understanding of safety-relevant AI capabilities, specifically at the intersection of AI with biology and chemistry. The team studies AI capabilities including (but not limited to) providing detailed instructions and (multimodal) troubleshooting for chemical or biological lab work, designing new or modified biological … scientific R&D pipeline. You will collaborate closely with other Research Engineers and receive coaching and mentorship from a Research Scientist with a mixed background in machine learning and biology, as well as our workstream lead who is an established expert in biosecurity. Your day-to-day work may involve: Develop and improve pipelines and frameworks to streamline our … if you have some of the following skills, experience and attitudes: Relevant experience in industry, open-source collectives, or academia in a field related to machine learning, AI or computational biology. Experience in writing production-level code that is scalable, robust and easy to maintain, ideally in Python. Knowledge of scaffolding, prompting and/or evaluating large language models. More ❯