Executive Director, Digital Drug Discovery and AI Strategy

Redwood City, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys 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 Revolutionariesin 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 Researchs 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 RevMeds 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 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 ourCCPA additional information please contact .

Base Pay Salary Range

$314500$370000 USD

Required Experience:

Director