Revolution Medicines · 2 weeks ago
Executive Director, Digital Drug Discovery and AI Strategy
San Francisco Bay Area
Full-time
Onsite
Director/Executive
$314K/yr - $370K/yr
15+ years expRevolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies. As Executive Director, AI/ML Research & Scientific Computing, you will lead the AI/ML strategy and oversee the implementation of advanced analytics in drug discovery, driving innovation and collaboration across teams.
Health CareLife ScienceMedical
Responsibilities
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
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
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
Qualification
Required
Ph.D. or Masters degree in Computer Science, Machine Learning, Physics, Math or a relevant scientific discipline with over 15+ years' experience, exposure to drug discovery is a plus
Expertise in a wide variety of AI/ML-based computational techniques and developing adaptable ML workflows to solve challenging problems
Deep understanding of AI/ML techniques such as deep learning, reinforcement learning and generative models
Expertise in frameworks such as PyTorch/TensorFlow, training, and fine-tuning models on GPUs
Track record of deploying AI/ML solutions at scale
Proven track record of leadership and cross-functional collaboration across ML-Scientist, Software Engineering, and MLOps
Previous experience leading large AI/ML projects that require engaging with collaborators across the board and with varying degrees of expertise
Expertise in machine learning infrastructure and MLOps, including cloud and on-prem compute environments
Demonstrated ability to build, scale, and lead high-performing cross-functional teams
Strong communication and leadership skills with the ability to bridge diverse scientific and technical disciplines
Passion for scientific innovation and a relentless commitment to improving patient outcomes
Preferred
Proven track record of applying advanced AI/ML approaches (deep learning, generative modeling, structure-based ML) to drug discovery or related life sciences domains
Knowledge of oncology therapeutic area and drug discovery
Strong familiarity with biological and chemical datasets and compound libraries
Evidence of successful coaching, mentorship and development of both individuals and teams in order to build long-term organizational capability
Benefits
Competitive cash compensation
Robust equity awards
Strong benefits
Significant learning and development opportunities
Company
Revolution Medicines
Revolution Medicines is an innovative and dynamic organization of expert biologists, chemists, pharmacologists, clinical scientists.
501-1000 employees
H1B Sponsorship
Revolution Medicines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (18)
2023 (15)
2022 (8)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Royalty PharmaBoxer CapitalNextech Invest
2025-06-24Post Ipo Debt· $250M
2024-12-02Post Ipo Equity· $750M
2023-03-02Post Ipo Equity· $323.6M
Leadership Team
Luan Wilfong
Chief Human Resources Officer
Steve Kelsey
President
Recent News
2026-01-11
The Motley Fool
2026-01-11
Company data provided by crunchbase