Scientist , Computational Chemistry

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

The Opportunity:

We are seeking a motivated

Scientist I/IIto join our dynamic Computational Chemistry team. This position offers an exciting opportunity to drive drug discovery through cutting-edge computational methods, 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:

Partner with multidisciplinary, collaborative teamsin Discovery Sciences to design, optimize, and accelerate the discovery of novel drug candidates using structure-based computational methods.

Analyze structure-activity relationships (SAR) and make data-driven decisions by systematically following existing SAR trends to guide compound prioritization and design strategies for Ro5 and bRo5 molecules.

Partner closely with Medicinal Chemists to prioritize compound designs both independently and collaboratively, effectively communicating scientific rationale and recommendations to diverse interdisciplinary teams.

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.

Leverage advanced computational methodologies, including physics-based methods, generative models and machine learning approaches, to enhance understanding of SAR and drive Ro5 and bRo5 projects with timely decision making to ensure focus and delivery of key objectives.

Provide innovative ideas and modelsto challenge and guide project roadmap while serving as lead computational chemistry representative on drug discovery pipeline projects.

Devise and execute strategies to augment our hit finding abilities for novel protein and protein-protein targets, aid in designing diverse chemical libraries.

This is a full-time, on-site position based in Redwood City, CA.

Required Skills, Experience and Education:

Ph.D. in computational chemistry or related field.

Understanding of contemporary computational chemistry methods and their use in protein-ligand analysis and drug design such as docking, virtual screening, pharmacophore modeling, MD simulation, QM calculations etc.

Experience with computational chemistry, cheminformatics, data science, machine learning software.

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

Excellent oral and written communication skills. Experience in positively influence team decisions and effectively collaborate across multidisciplinary environments.

Driven by a desire to be innovative and creative in a high energy, fast-paced environment.

Preferred Skills:

Experience with diverse Ro5 and bRo5 therapeutic modalities such as macrocycles and small molecules.

Working in HPC environments.

Strong publication history demonstrating computational chemistry expertise and innovation.

Familiarity with data visualization tools and analytics tools for effective communication of insights.

#LI-Hybrid #LI-LN1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location.

Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Pl…