Revolution Medicines

Revolution Medicines

Senior Machine Learning Scientist II, Drug Discovery Analytics

Redwood City, California, United States · Senior · Full-time

Sponsorship not specified$251k-$295kDetected 22 hours ago
PythonMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPyData AnalysisData ScienceData VisualizationMLOpsStatisticsA/B TestingComplianceBioinformaticsResearchCommunication

About the role

  • We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence.
  • Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.
  • Evaluate model performance and apply appropriate validation strategies.

Responsibilities

  • This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.
  • Develop Predictive Models for Drug Discovery
  • Collaborate with Research Scientists.
  • Partner with medicinal chemists to support compound design and lead optimization.

Skills

  • PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.
  • 6-10 years experience applying machine learning or advanced analytics to scientific datasets.
  • Python and scientific computing libraries (NumPy, Pandas, SciPy).
  • Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).
  • Model development, validation, and evaluation methods.
  • Data visualization and exploratory analysis.
  • Experience working with noisy and incomplete experimental datasets.
  • Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).
  • Multi-omics data analysis.
  • Cloud computing environments.
  • MLOps or scalable model deployment.
  • The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below.

Compensation

  • $251,000 - $295,000 USD
  • Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process.

Benefits

  • The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research.
  • Independently Design and implement machine learning models to predict compound activity, selectivity, and developability.

Company info

  • Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers.
  • The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins.
  • The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development.
  • As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
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This listing is sourced directly from Revolution Medicines's careers page and normalized into a canonical job model.