Senior Scientist II, Computational Chemistry

About the role

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide. Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor—all in service of patients.

The Opportunity: We are seeking an accomplished, independent and creative Senior Scientist II to join our Computational Chemistry team. This role offers an opportunity to provide scientific leadership across drug discovery programs, shape computational strategy, and drive the design and optimization of novel therapeutics through advanced computational, cheminformatics, and data science approaches, working at the intersection of structural biology, medicinal chemistry, biology, and data science to accelerate the development of transformative therapeutics for patients. As a key contributor in our Computational Chemistry team, you will:

Responsibilities

• Serve as a computational chemistry lead on multidisciplinary discovery teams, independently shaping computational strategy, influencing project direction, and driving compound design decisions from hit finding through lead optimization.
• Integrate complex SAR, structural biology, biophysical, biochemical, and ADME/PK data to generate testable hypotheses, identify design opportunities, and independently drive compound prioritization strategies for Ro5 and bRo5 molecules.
• Act as a strategic partner to medicinal chemistry, proactively proposing compound designs, prioritization frameworks, and risk-mitigation strategies while clearly communicating scientific rationale to project teams and leadership.
• Design and implement virtual screening workflows leveraging both structure-based and ligand-based computational methods to discover novel hit compounds and accelerate lead optimization processes.
• Critically evaluate, implement, and apply advanced computational methodologies, including physics-based modeling, enhanced sampling, free energy methods to address program-specific challenges and improve decision-making.
• Collaborate with the Advanced Analytics team to help create, validate and advocate AI/ML