# Research Scientist (Machine Learning), London at Isomorphic Labs > United Kingdom · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aisomorphiclabs%3A5224363004 (read 2026-11-07). ## Facts (observed) - Company: [Isomorphic Labs](https://alderhq.app/companies/isomorphic-labs) - Location text: London; Lausanne ; London - Where it can be done from (inferred): United Kingdom (evidence: "Location: London; Lausanne ; London") - Posted: 2024-07-06 (854 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/isomorphiclabs/jobs/5224363004 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (London, n 20): p25 £102k, median £213k, p75 £348k - Licensed UK sponsor: registered as "Isomorphic Labs Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. ### About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. ### Research Scientist (Machine Learning), London ### Your impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it. Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. ### Depending on your experience You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it. ### What you will do - Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. - Identify and create novel ML techniques and the required data to train. - Develop the architectures and training algorithms of machine learning models. - Analyse and tune experimental results to inform future experimental directions. - Implement and scale training and inference engineering frameworks. - Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines. - Iterate collaboratively with scientists and domain experts, sharing your own domain experience. - Suggest and engage in team collaborations to meet ambitious research goals. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aisomorphiclabs%3A5224363004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.