Machine Learning Jobs

49 jobs for “Drug Discovery”

Results

Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Leader / Senior Scientist (Medicinal Drug Design), Cambridge, MA

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  • Cambridge, United States
  • Hybrid · 3 days in office
  • Senior · manages people

Lead medicinal chemistry efforts on drug discovery projects, guiding them from initiation to clinical candidate selection as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine AI models, manage CRO resources, and generate IP, with some roles line-managing 2-4 chemists.

AlphaFold

3 months ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Leader / Senior Scientist (Computational Drug Design), Cambridge, MA

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  • Cambridge, United States
  • Hybrid · 3 days in office
  • Senior · manages people

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

REINVENT

2 months ago

Relation Therapeutics

Senior Data Scientist (Imaging)

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  • London
  • On-site
  • Senior
  • Permanent

Builds generative and predictive models of cellular behaviour from high-content imaging, curating cell painting and brightfield datasets and designing evaluation that separates biological signal from technical artefact. Partners closely with ML scientists and wet lab assay teams, linking imaging readouts to single-cell and perturbation data in a matrixed TechBio environment.

NumPy · pandas · Polars +6

Visa sponsorship 3 months ago

Relation Therapeutics

Machine Learning Research Engineer

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  • London
  • On-site
  • Senior
  • Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

3 months ago

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