Executive Director, Digital Drug Discovery and AI Strategy

Executive Director, Digital Drug Discovery and AI Strategy

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.

The Opportunity

As Executive Director, AI / ML Research & Scientific Computing, you will be a senior leader shaping the future of data-driven drug discovery at Revolution Medicines. You will define the Research’s AI / ML strategy, oversee implementation of advanced analytics across discovery, and build a world-class team to unlock the full potential of our rich internal datasets and make these insights accessible to other scientists. Your leadership will directly influence early discovery innovation, pipeline acceleration, and strategic portfolio decisions.

Key Responsibilities

• Technical Leadership and Innovation : You will have a deep understanding of Machine Learning Operations and AI system design. Design and scale a robust ML infrastructure, integrating MLOps best practices to ensure seamless development, deployment, and monitoring of AI / ML models. Drive innovation in applying deep learning, generative models, and diffusion models to drug discovery, including target prediction, hit identification, and lead optimization. Leverage RevMed’s unique datasets to generate novel hypotheses and enable data-driven decision-making across the research continuum.
• Strategic Vision and Leadership : Define the long-term vision for AI / ML-enabled discovery and align it with organizational priorities. Build, mentor, and inspire a cross-disciplinary team of data scientists, computational chemists, engineers, and biologists. Establish key performance metrics and ensure delivery of impactful solutions that accelerate portfolio progression.
• External and Cross-Functional Collaboration : Forge partnerships with leading academic groups, technology innovators, and compute providers to access cutting-edge platforms and methodologies. Collaborate across research, chemistry, biology, and IT to identify high-impact opportunities for AI / ML integration and ensure smooth deployment of scalable solutions. Act as a thought leader internally and externally, representing RevMed at scientific forums and shaping the broader field of AI-driven drug discovery.

Required Skills, Experience and Education

Ph.D. or master’s degree in Computer Science, Machine Learning, Physics, Mathematics or a relevant scientific discipline with over 15+ years’ experience, exposure to drug discovery is a plus.

Preferred Skills

Compensation and Benefits

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.

Equal Opportunity Employer

Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity / expression, national origin / ancestry, age, disability, marital status, medical condition, and veteran status.

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