Director, Machine Learning, Discovery Chemistry

Third Rock Ventures • Redwood City, CA

107d • $204,000 - $255,000

About The Position

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 scientists in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

Requirements

• Ph.D. degree in a relevant scientific discipline with over 8+ years' experience in the pharmaceutical/biotech industry alongside a strong track record of positive impact in programs.
• Expertise in a wide variety of AI/ML-based computational techniques and developing adaptable ML workflows in the space of protein-protein interactions and molecular AI design.
• Expertise in frameworks such as PyTorch/TensorFlow, training, and fine-tuning models on GPUs.
• Previous experience leading large AI/ML projects that require engaging with collaborators across the board and with varying degrees of expertise.
• Recognized as an intellectual leader in the early phases of drug discovery with a track record of patents, publications and project achievements.
• Demonstrates ability to recognize anomalous and inconsistent results and interpret experimental outcomes.
• Excellent written and verbal communication skills to work with interdepartmental teams.

Nice To Haves

• Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team.
• Knowledge of oncology therapeutic area and drug discovery.
• Evidence of successful coaching, mentorship and development of both individuals and teams in order to build long-term organizational capability.

Responsibilities

• Leading and building the strategy to utilize AI/ML techniques, including diffusion models, deep learning, and generative models to accelerate drug discovery.
• Build and apply machine learning techniques to our rich internal datasets to aid in new hypothesis generation with experimental collaborators.
• Implement machine learning and computational chemistry-based methods to model protein-ligand and protein-protein interactions.
• Being a partner in the scientific activities of other outstanding scientists across Revolution Medicines and helping create an environment where we channel scientific curiosity to build and deliver a sustainable portfolio.
• Advancing the RevMed Research Portfolio and helping build our scientific reputation through presentation/publication of project results in scientific meetings and peer-reviewed literature, as guided by RevMed publication policies, to build our scientific reputation.
• Identifying, establishing and leading partnerships with selected strategic technology partners focused on supporting RevMed projects.
• Drive integration of state-of-the-art generative AI methodologies within computational drug design.
• Optimize generative AI methodologies with one or more design criteria for novel compound generation.
• Participate and lead the evaluation of external and internal capabilities and facilitate collaborations with external partners.

Benefits

• Competitive cash compensation
• Robust equity awards
• Strong benefits
• Significant learning and development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Ph.D. or professional degree