Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Bit Bio
bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio, we are passionate about engineering human cells that will enable More ❯
a commercial presence in many global locations across the US, APAC and Europe. Oxford Nanopore employs from multiple subject areas including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Babraham Research Campus Ltd
/06/2025 bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient, and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio, we are passionate about engineering human 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 ❯
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 ❯
Norwich Research Park, Colney Lane, Colney, Norwich, England
COLORIFIX LIMITED
hazardous chemicals as well as allowing for large savings in water and energy use. Colorifix has been recognised by winning awards in both synthetic biology and fashion, with full information available on our website. We promote and adhere to our company values of Trust, Sustainability, Respect, Inclusivity and Social Conscience. 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 ❯
making findings through peer-reviewed publications and/or scientific conferences Qualifications Ph.D. in EE/CS/Statistics/Applied math/Computational Biology or related majors Strong background in artificial intelligence/machine learning with an established track record (publication in top-tier conferences/journals, awards, patents 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hays
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 ❯
a commercial presence in many global locations across the US, APAC and Europe. Oxford Nanopore employs from multiple subject areas including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies 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 ❯
timely data capture/entry into appropriate systems Author protocols, work instructions, SOPs, or presentations Qualifications/Requirements: Education : Ph.D., M.S., or B.S. in Biology, Biological Sciences, Biochemistry, Computer Science, Engineering, or equivalent is required Required : Ph.D. with 2 years or M.S./B.S. with 8 or more years of 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 ❯
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 ❯
well as one of UK's largest HPC cluster on-site. The ideal candidate: The applicant needs to hold a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline with a background and/or interest in at least one of the following subjects: Microbiomes & biodiversity Ecology More ❯
