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Research Scientist (Machine Learning), London

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

About the role

Research Scientist in machine learning to build greenfield ML models and algorithms powering the drug discovery platform, leading projects, mentoring researchers, and collaborating with engineers and scientists across disciplines.

Responsibilities

  • Contribute to research directions in machine learning by applying 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 directions.
  • Implement and scale training and inference engineering frameworks.
  • Report and present research findings clearly to ML scientists and scientists from other disciplines.
  • Iterate collaboratively with scientists and domain experts, sharing domain experience.
  • Suggest and engage in team collaborations to meet ambitious research goals.
  • Provide technical mentorship and guidance to the ML research community, advising on projects and shaping the roadmap (depending on experience).
  • Provide developmental support to other ML research scientists.
  • Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.
  • Cultivate a diverse and inclusive research culture.

Qualifications

  • PhD or equivalent practical experience in a technical field.
  • Proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualization.
  • Strong knowledge of linear algebra, calculus and statistics.
  • Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
  • A passion for applying ML research to real world problems.
  • Depending on your experience: project supervision, leadership, or management.

Skills

Required:PhD or equivalent practical experience in a technical fieldDeep learning with ML frameworks (JAX, PyTorch, TensorFlow)Math foundations (linear algebra, calculus, statistics)
Nice to have:Data handling for ML in biology/chemistryLeadership / mentorship (optional based on experience)
Last updated Jul 8, 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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