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 of Computational Chemistry responsible for:

• Guide the strategy for expanding the capabilities of structure based drug design within RevMed’s unique mode of action.
• Managing, coaching and mentoring scientists across the computational chemistry function in order to develop their skills and build RevMed’s organizational capabilities.
• 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.
• 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.
• Identifying, establishing and leading partnerships with selected strategic technology partners focused on supporting RevMed projects.

Required Skills, Experience and Education:

• A Ph.D. degree in a relevant scientific discipline with over 5+ years’ experience in the pharmaceutical/biotech industry alongside a strong track record of positive impact in programs.
• Expertise in a broad variety of computational techniques is essential, particularly molecular docking, pharmacophore development, library design and analysis, machine learning methods, and protein-protein/protein-ligand simulation.
• Highly desirable, experience in identifying hits and leads against challenging targets using state-of-the-art in silico methodology.
• Recognized as an intellectual leader in the early phases of drug discovery with a track record of patents, publications and project achievements.
• Demonstrates ability to recognize anomalous and inconsistent results and interpret experimental outcomes
• Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team.
• Knowledge of oncology therapeutic area and drug discovery.
• Excellent written and verbal communication skills to work with interdepartmental teams.
• Evidence of successful coaching, mentorship and development of both individuals and teams in order to build long-term organizational capability.

Preferred Skills:

• Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team.
• Knowledge of oncology therapeutic area and drug discovery.

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.