26 to 49 of 49 Computational Biology Jobs in the UK

and spoken English. Proficient in SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and Python. Education: MSc or PhD in Data Science, Medical Statistics, Computational Biology, Health Economics, Health Policy, Statistics, Biostatics, Mathematics or other quantitative fields. Key Accountabilities : Project Execution To direct project teams in the design 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 ❯

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 ❯

remove pollutants. The Cyanobacteria Engineering for Restoring Environments (CYBER) project aims to develop the foundational multidisciplinary tools needed to de-risk environmentally focused engineering biology and ultimately support its future deployment into real-world ecosystems. We are looking for a synthetic biologist with computational and experimental experience interested … before deploying them into complex ecosystems. You will have the opportunity to work closely with experimentalists and have access to state-of-the-art computational and bio-nano-technology equipment to test, debug and improve your theories in living organisms. You will be able to spend time away from … in DNA synthesis, DNA sequencing, DNA data storage as well as naturally occurring mutation types and rates to improve biosecurity schemes. Develop conceptual and computational frameworks to evaluate the effectiveness of the various schemes developed under different realistic experimental in vitro, in vivo and environmental conditions. Collaborate with molecular 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 ❯

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 ❯

learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computational biology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications. This requires … conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our 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 ❯

and grow with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with … with graph engines such as Neo4J is a plus. A demonstrated track record of success in fast-paced environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued. Compensation & Benefits - Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. Health 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

together computer scientists, data scientists, bioinformaticians, and clinicians across academia and industry, we are seeking an enthusiastic and ambitious Postdoctoral Research Scientist to undertake computational analysis of the functional implications of variation within noncoding functional sequences in relation to cardiovascular disorders. The role: The post holder will lead on … based on their predicted impact. They will also lead on the analysis, preparation, and submission of the associated manuscripts. The successful candidate will develop computational pipelines centered on machine learning applications such as convolutional neural networks to reproducibly handle multi-omic data (genome, transcriptome, epigenome) to enable functional sequence … The post holder will have access to cutting-edge high-performance computing facilities and expertise. They will join an active community of experimental and computational biologists working on a wide range of genomics analyses. They will also have the opportunity to contribute to other projects at EI. The ideal More ❯

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 … 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 … 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/ More ❯