5 of 5 Permanent Bioinformatics Jobs in London

product leadership. Proven ability to build and scale products that manage or interpret complex, unstructured data, particularly biomedical or scientific data. Deep knowledge of bioinformatics, computational biology, or cheminformatics, coupled with a visionary perspective on how agentic AI can revolutionize the drug discovery process, while also navigating the complexities ...

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 to scientific ...

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 in ML, AI for Science ...

incident response, production debugging, tracing, or reliability engineering. - Experience building agentic AI systems, and sandboxed execution environments for running untrusted code. - Experience with scientific, bioinformatics, cheminformatics, mass spectrometry, LC-MS, ADME, or regulated laboratory workflows. - Experience with Stripe billing, subscriptions, and team account management. ## Essential qualities - High ownership ...

future of scientific software. RESPONSIBILITIES Identify IT & Data Science Pain Points and Define Key Success Metrics : Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure … product roadmap to better serve the needs of IT and data science users QUALIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred). 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud ...