Ideal for a Ph.D. or Master's holder in a quantitative field with over 10 years of experience in AI/ML and a background that ideally includes drug discovery. *
Work type: hybrid
Location: Redwood City, California, United States
Salary: $326,000 – $383,000/yr
Type: Full-time
Ideal for a Ph.D. or Master's holder in a quantitative field with over 10 years of experience in AI/ML and a background that ideally includes drug discovery. **What makes it worth a look...** Revolution Medicines is offering a full-time, hybrid role in Redwood City, California, with a compelling base salary range of USD 326,000 - 383,000 per year. This position allows you to shape the future of data-driven drug discovery for patients with RAS-addicted cancers. **You might be a good fit if you...** * Have deep expertise in AI/ML techniques like deep learning, reinforcement learning, and generative models. * Are proficient with frameworks such as PyTorch or TensorFlow and experienced in training models on GPUs. * Possess a proven track record of deploying AI/ML solutions at scale and leading cross-functional teams. * Have hands-on experience with machine learning infrastructure and MLOps, including cloud environments.
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.
The Opportunity:
As Executive Director, AI/ML Drug Discovery Analytics, 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.
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. Work closely with the Chief Digital Officer and team to build and drive the research vision for advanced analytics within the enterprise framework. Lead the cross functional analytics team to harness data science and AI to accelerate early drug discovery.
Required Skills, Experience and Education:
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.