Executive Director, AI/ML Drug Discovery Analytics

2w2 weeks ago

Revolution Medicines

Redwood City, US · Full-time · $326,000 – $383,000

About this role

Revolution Medicines is a clinical-stage precision oncology company developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The R&D pipeline includes RAS(ON) Inhibitors and RAS Companion Inhibitors for combination treatments. Join outstanding Revolutionaries in a tireless commitment to patients with RAS pathway mutations.

As Executive Director, AI/ML Drug Discovery Analytics, shape the future of data-driven drug discovery. Define Research’s AI/ML strategy, oversee advanced analytics implementation across discovery, and build a world-class team. Unlock potential of rich internal datasets to make insights accessible to scientists.

Design and scale robust ML infrastructure with MLOps best practices for seamless model development, deployment, and monitoring. Drive innovation using deep learning, generative models, and diffusion models for target prediction, hit identification, and lead optimization. Leverage unique datasets to generate novel hypotheses and enable data-driven decisions.

Define long-term AI/ML vision aligned with priorities, mentor cross-disciplinary teams of data scientists, chemists, engineers, and biologists. Forge partnerships with academic groups, innovators, and compute providers. Collaborate across research, chemistry, biology, IT, and with the Chief Digital Officer to accelerate early discovery.

Your leadership influences early discovery innovation, pipeline acceleration, and portfolio decisions. Act as thought leader at scientific forums, shaping AI-driven drug discovery. Lead cross-functional analytics team to harness data science and AI enterprise-wide.

Requirements

Ph.D. or Master's degree in Computer Science, Machine Learning, Physics, Math or a relevant scientific discipline with over 10+ 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 scientists, Software Engineering, and MLOps
Previous experience leading large AI/ML projects that require engaging with collaborators across the organization

Responsibilities

Define the Research’s AI/ML strategy and oversee implementation of advanced analytics across discovery
Build, mentor, and inspire a cross-disciplinary team of data scientists, computational chemists, engineers, and biologists
Design and scale a robust ML infrastructure, integrating MLOps best practices for model development, deployment, and monitoring
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
Forge partnerships with leading academic groups, technology innovators, and compute providers
Collaborate across research, chemistry, biology, and IT to integrate AI/ML solutions
Act as a thought leader internally and externally, representing RevMed at scientific forums