Executive Director, Digital Drug Discovery and AI Strategy at Revolution Medicines

Redwood City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

320000.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Strategy, Data-Driven Drug Discovery, Deep Learning, Generative Models, MLOps, Computational Techniques, Leadership, Cross-Functional Collaboration, Cloud Computing, Biological Datasets, Chemistry, Oncology, Drug Discovery, Team Building, Communication

Industry

Hospitals and Health Care

Description

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 scientist. Your leadership will directly influence early discovery innovation, pipeline acceleration, and strategic portfolio decisions. Key responsibilities include: 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 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, reinforment 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 Skills: 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. #LI-Hybrid #LI-GL1 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 a candidate is based in. 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. 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. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. Base Pay Salary Range $256,000—$320,000 USD

Responsibilities

As Executive Director, you will shape the future of data-driven drug discovery by defining the AI/ML strategy and overseeing advanced analytics implementation. You will lead a cross-disciplinary team to unlock insights from internal datasets and influence early discovery innovation.