16 of 16 Permanent Biology Jobs in England

defend your results Experience with training and evaluation data pipelines, including reproducibility and observability Nice to have Background in a life science domain, biology, chemistry, medicine, or bioinformatics Post-training experience on LLMs Peer-reviewed publications or other settings where your ideas were stress-tested Open source contributions to scientific ...

defend your results. - Experience with training and evaluation data pipelines, including reproducibility and observability. ## Nice to have - Experience in a life-science domain (biology, chemistry, medicine, bioinformatics). - Post-training experience on LLMs. - Peer-reviewed publications, or other settings where your ideas were stress-tested. - Open source contributions ...

computational drug discovery tools. This is an opportunity to join a highly technical, multidisciplinary team working at the intersection of machine learning, chemistry, biology and software engineering. You'll play a key role in developing production-grade ML systems, supporting scientific innovation, and helping deliver impactful solutions used by researchers ...

compare predicted vs. observed validation outcomes ● Implement monitoring and governance: drift, data quality checks, model versioning, auditability 5) Collaborate cross-functionally ● Work closely with biology, formulation, and clinical teams to design experiments and validation loops ● Partner with product and commercial teams to shape “client-ready” deliverables (e.g., ranked actives, evidence ...

closely with clinicians to understand and support their reporting and analytical needs Qualifications Mandatory qualifications and experience: A postgraduate degree in computer science, statistics, biology or a related quantitative discipline. Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling Experience ...

very own bespoke ECT induction, as well as work alongside a range of young & experienced Secondary Teachers. We are currently looking for teachers for: Biology (Science) Chemistry (Science) Geology (Science) Natural Sciences (Science) Mathematics & Physics (Science) Mathematical Sciences (Maths) Physics (Maths) Computer Science Engineering Does this sound like the Science ...

Engineering or Sciences related fields (E.g., Electrical/Electronic Engineering, Mechanical Engineering, Chemical Engineering, Computer Science/Engineering, Artificial Intelligence/Machine Learning, Biology, Biomedical Engineering, Aerospace Engineering, etc.) Korean language skills preferred (but not required!) Willingness to relocate to Korea is essential ✍️ Interested? Click Easy Apply and submit your ...

Lifecycle Management: Manage schema lifecycles via GitHub-based repositories, semantic versioning, tagged releases, and metadata catalogues. Stakeholder Collaboration: Partner with Scientific Knowledge Engineering, Causal Biology SMEs, Data Engineering, and Platform teams. ...

Developing data analytic pipelines and novel methodologies for scientific applications Cambridge; £45,000 to £75,000 DoE + Benefits This hybrid-style role combines a healthy dose of data science analytics, scientific project understanding and ...

+ benefits Requirements for Graduate Technology Consultant: We are particularly interested in candidates from broad STEM or applied science backgrounds - for example, Engineering, Chemistry, Biology, Physics, Mathematics, Economics, Psychology, or similar. This role is best suited to graduates who can communicate clearly and confidently with customers, without leading conversations into … academic background, so you should have achieved a minimum 2:1 degree in a STEM or applied science subject such as Engineering, Chemistry, Biology, Physics, Mathematics, Economics or Psychology Achieved at least AAA at A Level or equivalent UCAS points Excellent communication skills with the confidence to work with external ...

looking for a highly motivated Computational Biologist/Bioinformatician to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI) , located on the Wellcome Genome Campus near Cambridge, as part of the Wellcome Trust funded LIGMAP project, a multi-disciplinary collaboration between University College London and EMBL … EBI. The Chemical Biology Resources te... CRWG1_UKTJ ...

+ Equity 🧬 AI Biotech Startup | Full-time About Us I'm working with an AI-first biotech company building foundation models for biology and chemistry to radically accelerate drug discovery. By combining probabilistic modelling, large-scale biological datasets, and generative machine learning, they're creating systems capable of reasoning across … similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems design capabilities Nice to Have Background in computational biology, drug discovery, or bioinformatics Experience working with molecular, genomic, or protein datasets Familiarity with diffusion models, energy-based models, or probabilistic generative methods Publications ...

ensuring that research data remains fit-for-purpose, compliant, and scalable across evolving use cases. Required Skills & Experience Bachelor’s degree or higher in Biology, Bioinformatics, Computational Biology, Data Science (with strong life-sciences focus), or a related field. Hands-on experience with data stewardship and/or data governance ...

distributed training, accelerator optimisation, experiment orchestration, large-scale data infrastructure and research tooling. You’ll work closely with researchers across machine learning and computational biology to improve training performance, increase experimentation velocity and help scale increasingly ambitious model development efforts. This is a role for someone who enjoys operating close … work. That could include frontier AI labs, foundation model teams, large-scale multimodal systems groups or high-performance distributed ML environments. Experience in biology is not required. The team is far more interested in engineers who understand how to make ambitious research systems work reliably at scale ...

Hybrid) | 💰 £145,000+ & Significant Equity 🧬 AI Drug Discovery Startup | Full-time About Us We’re an AI-native biotech company building foundation models for biology to transform how new medicines are discovered. By combining large-scale multimodal biological datasets with probabilistic machine learning and generative AI, we’re developing systems … distributed systems experience Ability to balance research innovation with engineering execution Excellent communication and stakeholder management skills Nice to Have Experience in biotech, computational biology, or AI for science Familiarity with molecular modelling, protein representation learning, or biological datasets Publications or contributions in advanced ML research Experience scaling ML organisations ...

Track record of translating cutting-edge research into scalable production systems Highly Desirable Experience applying machine learning to protein engineering, antibody discovery, or computational biology Familiarity with antibody sequence datasets, immune repertoire modelling, or protein language models Experience with structural biology data including AlphaFold, protein embeddings, or molecular simulation outputs … prediction, or therapeutic optimisation workflows Experience with diffusion models, graph neural networks, or generative protein design approaches Publications in machine learning, protein modelling, computational biology, or AI for Science Why Join? Build frontier AI systems focused on one of the most impactful areas in modern biotechnology Help create foundation models ...