Director, Machine Learning, Discovery Chemistry

Revolution Medicines; Redwood City (CA); On-site; USD 204,000 - 255,000; Full time

Job summary

An established industry player is seeking a Director of Computational Chemistry to drive innovation in drug discovery using cutting-edge AI and machine learning techniques. This pivotal role involves leading the strategy for computational methods, fostering partnerships, and enhancing the scientific reputation through impactful research. Join a team dedicated to transforming cancer treatment with a focus on RAS-addicted cancers. This position offers a dynamic environment where your expertise will directly contribute to advancing groundbreaking therapies and improving patient outcomes. If you are passionate about integrating AI with scientific discovery, this opportunity is perfect for you.

Benefits

Competitive cash compensation

Robust equity awards

Strong benefits

Learning and development opportunities

Qualifications

• Ph.D. with 8+ years in pharma/biotech and strong impact track record.
• Expertise in AI/ML workflows for protein interactions and molecular design.

Responsibilities

• Lead strategy to utilize AI/ML for accelerating drug discovery.
• Implement computational methods for modeling interactions.

Skills

AI/ML techniques

Deep learning

Generative models

Protein-protein interactions

Communication skills

Education

Ph.D. in a relevant scientific discipline

Tools

PyTorch

TensorFlow

Job description

Director, Computational Chemistry (AI/ML)

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 scientists in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

The Opportunity:

Playing a critical role as the leader in Computational Chemistry responsible for:

1. Leading and building the strategy to utilize AI/ML techniques, including diffusion models, deep learning, and generative models to accelerate drug discovery.
2. Building and applying machine learning techniques to our rich internal datasets to aid in new hypothesis generation with experimental collaborators.
3. Implementing machine learning and computational chemistry-based methods to model protein-ligand and protein-protein interactions.
4. Being a partner in the scientific activities of other outstanding scientists across Revolution Medicines and helping create an environment where we channel scientific curiosity to build and deliver a sustainable portfolio.
5. Advancing the RevMed Research Portfolio and helping build our scientific reputation through presentation/publication of project results in scientific meetings and peer-reviewed literature, as guided by RevMed publication policies, to build our scientific reputation.
6. Identifying, establishing, and leading partnerships with selected strategic technology partners focused on supporting RevMed projects.
7. Driving integration of state-of-the-art generative AI methodologies within computational drug design.
8. Optimizing generative AI methodologies with one or more design criteria for novel compound generation.
9. Participating and leading the evaluation of external and internal capabilities and facilitating collaborations with external partners.

Required Skills, Experience and Education:

1. Ph.D. degree in a relevant scientific discipline with over 8+ years’ experience in the pharmaceutical/biotech industry alongside a strong track record of positive impact in programs.
2. Expertise in a wide variety of AI/ML-based computational techniques and developing adaptable ML workflows in the space of protein-protein interactions and molecular AI design.
3. Expertise in frameworks such as PyTorch/TensorFlow, training, and fine-tuning models on GPUs.
4. Previous experience leading large AI/ML projects that require engaging with collaborators across the board and with varying degrees of expertise.
5. Recognized as an intellectual leader in the early phases of drug discovery with a track record of patents, publications, and project achievements.
6. Demonstrates ability to recognize anomalous and inconsistent results and interpret experimental outcomes.
7. Excellent written and verbal communication skills to work with interdepartmental teams.

Preferred Skills:

1. Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team.
2. Knowledge of oncology therapeutic area and drug discovery.
3. Evidence of successful coaching, mentorship, and development of both individuals and teams in order to build long-term organizational capability.

The base salary range for this full-time position is $204,000 to $255,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base salary 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.