26 to 50 of 160 Biology Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

Climate data & analytics Digital Twins Future aerospace concepts Human-machine interfaces Nanomaterials Neurotechnologies Next-gen renewables Quantum sensing Satellite communications Space propulsion concepts Synthetic Biology Schedule: Monday to Friday Hybrid role (2 days in London-based office) No weekends Remote and flexible working arrangements considered. REQUIREMENTS BSc, Masters or PhD More ❯

Climate data & analytics Digital Twins Future aerospace concepts Human-machine interfaces Nanomaterials Neurotechnologies Next-gen renewables Quantum sensing Satellite communications Space propulsion concepts Synthetic Biology Schedule: Monday to Friday Hybrid role (2 days in London-based office) No weekends Remote and flexible working arrangements considered. REQUIREMENTS BSc, Masters or PhD 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 ❯

Innovate. Educate. Change the future of medicine. Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world's greatest health challenges. We pair the enthusiasm of an industry disruptor 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 ❯

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 ❯

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 ❯

Python. Experience in the retail sector would be an added advantage. PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding More ❯

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

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 ❯

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 ❯

datasets and complex models efficiently. Familiarity with drug discovery, the clinical development process, and/or expertise in specific therapeutic areas. Experience with disease biology in areas such as cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions. Please note that this role is available 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 ❯

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 ❯

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 R, along with More ❯

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 R, along with 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 ❯

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 More ❯

the metabolomics space. Qualifications A minimum of a BS degree in Life Sciences or related field required; a masters or PhD in biochemistry, molecular biology, or related science is preferred. An MBA is also preferred. A proven track record in sales related to life science services, platform services, experience in More ❯