Tech Stack

Description

Lead the AI/ML strategy for drug discovery at Revolution Medicines, driving data-driven innovation to accelerate pipeline progression and shape decisions across the research continuum.

Requirements

• PhD or Master's in CS, ML, Physics, Math, or related field with 10+ years experience
• Expertise in deep learning, reinforcement learning, and generative models
• Proficiency with PyTorch/TensorFlow and GPU model training
• Track record of deploying AI/ML solutions at scale
• Experience building and leading high-performing cross-functional teams

Responsibilities

• Define long-term AI/ML vision aligned with organizational priorities
• Design and scale ML infrastructure with MLOps best practices
• Apply deep learning, generative models, and diffusion models to drug discovery
• Build, mentor, and lead cross-disciplinary teams (data scientists, chemists, engineers, biologists)
• Establish KPIs and deliver impactful solutions for portfolio progression