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:

As a key contributor in our Computational Chemistry team, you will:

• Partner with multidisciplinary, collaborative teams to design, optimize, and accelerate the discovery of novel drug candidates using Structure-Based computational methods.
• Leverage advanced computational methodologies, including Structure-Based drug design, to enhance our understanding of SAR to drive Ro5 and bRo5 projects.
• Design and prioritize compounds, in close collaboration with our Medicinal Chemistry, Structural Biology, and Discovery Sciences colleagues.
• Devise and execute on strategies to augment our hit finding abilities for novel protein and protein-protein targets and aid in designing diverse chemical libraries.
• Using Ro5 and bRo5 compound datasets, train interpretable machine learning models for chemical properties and activities to be used for multi-parameter optimization of compound designs.
• Run computational chemistry software and models in a cloud high-performance computing (HPC) environment to rapidly run computational experiments enabling data-driven decision making.
• Provide innovative ideas and models to challenge and shape project thinking. Serve as lead computational chemistry representative on drug discovery pipeline projects.

Required Skills, Experience and Education:

• PH.D. in computational chemistry or related field.
• Minimum 7 years of computational chemistry experience in the biotechnology/pharmaceutical industry alongside a strong track record of positive impact in programs demonstrated by publications, patents, and/or presentations
• Expert-level knowledge of contemporary computational chemistry methods and their use in protein-ligand analysis and drug design such as docking, pharmacophore modeling, watermap etc..
• In-depth experience with computational chemistry, cheminformatics, data science, machine learning software.
• Excellent team and written communication skills. Experience in working with teams to complete projects.
• Thrives in a collaborative team setting and is driven by a desire to be innovative in a high energy, fast-paced environment.

Preferred Skills:

• Scientific programming or scripting in Bash, Python, R, Java, C languages, or similar languages.