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. The base salary range for this full-time position is $164,000 to $205,000 for candidates based at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the minimum and maximum salary for the position in Redwood City and will be adjusted for the local market a candidate is based. 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. #J-18808-Ljbffr Revolution Medicines
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