Revolution Medicines

Revolution Medicines

Principal Machine Learning Scientist, Drug Discovery Analytics

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

Sponsorship not specified$273k-$321kDetected 1 day ago
PythonAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPyData AnalysisData ScienceComplianceBioinformaticsLeadershipCommunicationCollaboration

About the role

  • Identify opportunities where AI and advanced analytics can meaningfully improve scientific decision-making.
  • Compound activity, selectivity, ADME/Tox, and developability.
  • Target engagement, mechanism-of-action, and phenotypic datasets.

Responsibilities

  • Drive the adoption of innovative modeling approaches within multidisciplinary discovery teams.
  • Partner with medicinal chemists to guide compound design and optimization.
  • Collaborate with data scientists and engineers and ML engineers to deploy models into scalable discovery workflows.
  • This role sits at the intersection of data science, chemistry, and biology, transforming complex scientific datasets into predictive models that guide target discovery, compound design, and translational hypotheses.
  • Working closely with experimental scientists, the Principal ML Scientist will develop cutting-edge modeling approaches that integrate chemical, biological, and phenotypic data.
  • Develop predictive models for:

Requirements

  • Strong understanding of early-stage drug discovery workflows.
  • Ability to translate biological or chemical questions into computational frameworks and predictive models.
  • Proven ability to communicate complex computational insights to.

Skills

  • PhD in machine learning, computational chemistry, computational biology, computer science, or a related quantitative discipline.
  • 8+ years experience applying machine learning or advanced analytics to scientific problems.
  • Demonstrated experience working with chemical or biological datasets in drug discovery or related domains.
  • Experience with cheminformatics or bioinformatics toolkits is highly desirable.
  • Familiarity with cloud computing and scalable ML workflows is a plus
  • Ability to work at the interface of computational and experimental science.
  • 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

  • $273,000 - $321,000 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

  • Define and lead machine learning strategies that accelerate early-stage drug discovery.

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.
  • Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers.
  • The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies.
  • As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
  • We are seeking a Principal Machine Learning Scientist to lead the development of advanced machine learning approaches that accelerate small-molecule drug discovery.
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This listing is sourced directly from Revolution Medicines's careers page and normalized into a canonical job model.