21 of 21 Computational Biology Jobs in the UK excluding London

Staff Computational Biologist, Immunology London, England; New York, New York; Salt Lake City, Utah; Toronto, Ontario Your work will change lives. Including your own. The Impact You'll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining … drug discovery from first principles using Recursion's massive data and compute capabilities. You will be the primary computational lead for a partnership portfolio of preclinical drug programs and will be responsible for collaboratively defining and executing a research strategy that identifies novel targets for immunology and inflammation (I … data from public and partnered datasets with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner with machine learning and computational scientists from across the More ❯

based in Cambridge, UK, leveraging artificial intelligence and machine learning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research in areas such as genomics, precision medicine, and biomarker discovery. Role Overview We are seeking a highly … datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI-driven insights into experimental workflows. Develop and maintain scalable pipelines for data processing and model … visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or More ❯

I am recruiting for a highly skilled and motivated Data Scientist/Computational Biologist to join an exciting start up team. The ideal candidate will have a strong background in biological data analysis, machine learning, and computational biology, with a focus on protein language models and next … for biological data interpretation. Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis. Essential Qualifications & Experience: PhD in Computational Biology, Bioinformatics, Data Science, or a related field. Strong background in biological data analysis with hands-on experience. Proficiency in machine learning (ML … Python, and related computational tools. Prior experience working with bio data and understanding biological processes. Familiarity with NGS technologies and sequencing data analysis (a major advantage). Ability to develop robust and scalable data processing pipelines. Strong problem-solving skills and the ability to work in a fast-paced More ❯

computing companies, and are advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery … and development. As a valued member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry … computational chemistry, computational biology, machine learning or a related discipline. You will need: Background in computer aided drug design (ideally in an industrial setting) Background in machine learning Ideally, you will also have: Experience in molecular simulation, cheminformatics or bioinformatics Experience with advanced machine learning methods (generative More ❯

spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) Oxford aims to overcome two major challenges in making biology engineerable: 1) the ability … entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and … sustained funding to address global challenges and advance biology engineering. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. GBI is looking for a Head of Scientific Compute to shape the future of computational research More ❯

tech start-up, backed by world-leading investors and academic institutions, is seeking a visionary VP of Data Science to lead and scale their computational and platform development efforts. Focused on skin health and longevity, the company is building a transformative data-driven platform powered by epigenetics. This is … recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and leadership Build and mentor a high-performing computational team Requirements: PhD in Computational Biology, Bioinformatics, Genomics, or a related field 8–10+ years post-PhD experience, ideally within bio/ More ❯

you thrive in a fast-paced, multidisciplinary environment and have the skills below, theyd love to hear from you. Capabilities: Masters or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving. Advanced proficiency in Python or experience with other programming languages (e.g., Java … C+). Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery. Beneficial Skills and Experience: Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython AI Protein Dynamics Integrative structural modelling Experience with data curation and More ❯

you thrive in a fast-paced, multidisciplinary environment and have the skills below, theyd love to hear from you. Capabilities: Masters or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving. Advanced proficiency in Python or experience with other programming languages (e.g., Java … C+). Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery. Beneficial Skills and Experience: Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython AI Protein Dynamics Integrative structural modelling Experience with data curation and More ❯

identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data … science, computational biology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics … databases. Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience. Nice-to-Haves: Understanding of cancer biology, target identification, and drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version More ❯

cutting-edge leader in medical and drug discovery, harnessing the power of bioinformatics to drive breakthroughs in healthcare. If you're passionate about using computational methods to solve complex biological problems and contribute to the future of medicine, we want to hear from you. Role Overview: As a Bioinformatician … you'll work at the intersection of biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a … driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software, and trends in More ❯

disease trajectories and therapeutic responses. This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced … of the rare disease research community. Documenting workflows, models, and results for reproducibility and transparency. You have • PhD (or equivalent experience) in Computer Science, Computational Biology, Bioinformatics, or a related field. • Proven track record in developing and deploying ML models for large datasets. • Experience with advanced ML, VAE … can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to More ❯

a Staff Machine Learning Engineer who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will … involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving … and reusable software engineering techniques and acts as an ambassador to promote effective tools and practices to the research community. Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency. Who You Are Minimum Qualifications More ❯

diseases develop or how patients might respond to certain treatments. Collaborate with Scientists : Work closely with biologists and other researchers to ensure that the computational models align with biological realities. Requirements: A PhD in machine learning, computational biology, or a related field, or equivalent industrial experience. Demonstrated More ❯

target identification, validation, and translational studies. Develop and apply novel analytical approaches to integrate and interpret diverse data types. Requirements A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or More ❯

agreed with the line manager, any other duties commensurate with the nature of the post - 5% Person Profile Education & Qualifications Requirement: PhD in bioinformatics, computational biology or related subject with experience of working on genomics and transcriptomics data and bioinformatics - Essential Specialist Knowledge & Skills Requirement: Pertinent experience in … life science research, training, and innovation focused on understanding the natural world through the lens of genomics. We are building a future where the biology of any organism can be understood by analysing its genome. Our mission is to decode the scale and complexity of living systems so we … the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also More ❯

We are looking for a talented frontend developer to join the Chemical Biology team at the European Bioinformatics Institute (EMBL-EBI) located on the Wellcome Genome Campus near Cambridge in the UK. The role is primarily to develop a series of web-based applications and interfaces for the Chemical … within the EBI and externally. Additionally, it will entail some requirement gathering and use-case development. The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and … representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. Your role In your role as a Frontend Developer , you will be responsible for: Developing and maintaining web More ❯

tools (e.g., NSight , Triton Inference Server ) is a major plus. Multi-modal model experience. 3d imaging experience. Interest in or exposure to pharma and computational biology use cases. Experience in fast-paced environments (e.g., startups, hedge funds, advanced R&D orgs). The Team You’ll join a More ❯

institutions to engineer micro-organisms for environmental monitoring and pollutant removal. The CYBER project aims to develop multidisciplinary tools to de-risk environmental engineering biology for real-world ecosystem deployment. We seek a synthetic biologist with computational and experimental expertise interested in Biosecurity and DNA data storage. You … secured by cryptographic DNA encoding techniques, ensuring safety and traceability before environmental deployment. You will work closely with experimentalists and have access to advanced computational and bio-nano-technology equipment. Travel opportunities include visits to UK and international collaborators' labs and attendance at conferences. To discuss this opportunity, contact … Research Associates Contribute to grant writing and public communication. Support responsible research and innovation initiatives. The Person Essential Knowledge, Skills, and Experience Experience in computational and experimental synthetic biology. Peer-reviewed publications. Lab experience in microbiology techniques. Familiarity with Molecular Biology, Synthetic Biology, or Biotechnology. Proficiency in More ❯

A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/Virtual Screening/Deep Learning/Generative Models More ❯

A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/Virtual Screening/Deep Learning/Generative Models More ❯

A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/Virtual Screening/Deep Learning/Generative Models More ❯