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Research Scientist (Applied LLMs), London

Isomorphic Labs· ML Research
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Hybrid (London)Full-timePosted 10mo ago

About the role

Research Scientist focused on applying Large Language Models to drug discovery, leading and contributing to cutting-edge LLM research and applications across interdisciplinary teams to accelerate scientific discovery and drug development.

Responsibilities

  • Contribute to core research in machine learning by pushing the boundaries of Large Language Models in their application to drug discovery
  • Develop and refine LLM-driven approaches for multiple use cases across our research areas, modifying and applying models for complex biological and medical challenges
  • Identify and create novel ML techniques and the required data to train and apply models
  • Analyse and tune experimental results to inform future experimental directions
  • Implement and scale training and inference engineering frameworks
  • Report and present research findings clearly to ML scientists and other disciplines
  • Iterate collaboratively with scientists and domain experts
  • Suggest and engage in team collaborations to meet ambitious research goals
  • Provide technical mentorship and guidance to the ML research community
  • Provide developmental support to other ML research scientists
  • Create, lead, and run ML research projects, fostering diverse teams and inclusive culture

Qualifications

  • PhD or equivalent practical experience in a technical field
  • Highly specialized LLM builder with strong experience applying LLMs to novel problems
  • Deep understanding of model architectures, training methods, deployment, post-training, reasoning, test-time scaling, tools, alignment, agents, RL and fine-tuning
  • Strong knowledge of linear algebra, calculus and statistics
  • Experience with ML frameworks such as JAX, PyTorch, or TensorFlow, and NumPy/SciPy/Pandas
  • Leadership or project supervision experience (depending on experience)
  • Strong knowledge of current LLM landscape and near-future developments
  • Experience working with real-world datasets

Skills

Required:PhD or equivalentLarge Language Models (LLMs)Model architectures, training methods, deploymentML frameworks (JAX, PyTorch, TensorFlow)Data handling with real-world datasets

Benefits

  • Note: Benefits are not explicitly listed in the provided description.
Last updated Jul 22, 2026. Interested? Apply on the company site.

About Isomorphic Labs

Reimagining Drug Discovery Process with AI

Isomorphic Labs is building a future where frontier AI can help to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.

AIBiotechnologyDrug DiscoveryPharmaceuticalsliquid-ai-recruiting-target
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