1 to 25 of 80 Biology Jobs in London

align with our data platform product strategy. Why You? Basic Qualifications: Bachelor's or master's degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline For candidates with a Bachelor's degree: 6+ years of professional experience, including at least 2 years in More ❯

to scale. Developing this unique platform requires expertise across a range of fields including Software Engineering, Bioinformatics, Computational Sciences, Electrical Engineering, Mechanical Engineering, Physics, Biology, Chemistry, and related fields. As a Senior Software Developer in Test, you will have the opportunity to work with experts in these fields to drive More ❯

align with our data platform product strategy. Why You? Basic Qualifications: Bachelor's or master's degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline For candidates with a Bachelor's degree: 6+ years of professional experience, including at least 2 years in More ❯

of Onyx's customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI More ❯

increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. More ❯

coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts More ❯

increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries. More ❯

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/health tech environments Deep expertise in DNA methylation and More ❯

What you'll need to succeed A BSc or MSc (or equivalent experience) in Computer Science, Bioinformatics, or a related field, eg Biotechnology or Biology Strong hands-on experience as a Software Engineer or Developer, within the Life Sciences sector, eg for a pharmaceutical or biotech company, CRO or other More ❯

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 More ❯

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 pushing the boundaries More ❯

industry trends to inform internal teams and external stakeholders. Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA More ❯

solving/numerical ability by possessing a minimum of a 2:1 in a numerical/problem solving subject (e.g. Mathematics, Science (Chemistry, Physics, Biology or similar), Economics ) Have good communication skills with the ability to work with people from all areas of the business Have good IT skills, particularly More ❯

expertise in the following fields: Electrical Engineering Mechanical Engineering Materials Science & Engineering Chemical Engineering Computer Science/Engineering Physics Chemistry Biotechnology Biomedical Engineering Biochemistry Biology Aerospace Engineering Cybersecurity ... And many more! Desirable Qualifications: While Korean language proficiency is desirable, it is not required . If you are a UK More ❯

expertise in the following fields: Electrical Engineering Mechanical Engineering Materials Science & Engineering Chemical Engineering Computer Science/Engineering Physics Chemistry Biotechnology Biomedical Engineering Biochemistry Biology Aerospace Engineering Cybersecurity ... And many more! Desirable Qualifications: While Korean language proficiency is desirable, it is not required . If you are a UK More ❯

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 More ❯

various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners. This role offers hybrid working, requiring 3 days per week More ❯

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 organization to … clinic Pilot novel methods for patient stratification and indication selection or expansion in immunology and inflammation Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning Present data analysis to decision makers and stakeholders … our core platform teams to provide a strong network of feedback and support. The Experience You'll Need PhD in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno-oncology, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma More ❯

Associate Director/Principal Scientist Computational Biology How to apply Please send your CV, quoting Associate Director/Principal Scientist Computational Biology in the subject line to Job Description: Associate Director/Principal Scientist Computational Biology Company Description NeoPhore is a biotech company targeting the dynamics of cancer neoantigen evolution … Milan. NeoPhore currently has 13 full time employees and operates a mainly virtual drug discovery & development model. We have a dedicated internal Cancer Cell Biology (CCB) laboratory based at City St George's University, in South London, where most of the innovative Biology associated with the progression of a first … to join our team. Role Description Summary NeoPhore is seeking an experienced, independent, highly motivated, rigorous, and resilient computational biologist to lead our computational biology and bioinformatics function. A background in (immuno-)oncology is essential along with a strong desire to contribute to the progression of the understanding of a More ❯

be a part of the AI revolution! We are seeking Applied Research Scientists with expertise in protein engineering, de novo protein design or structural biology to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building … deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This … position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this role requires a passion for bridging the gap between theoretical innovation and real-world application, and the ability to thrive in a highly collaborative and cross-functional More ❯

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 More ❯

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 growing, technical-first More ❯

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 growing, technical-first More ❯

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 growing, technical-first More ❯

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 growing, technical-first More ❯