Want to know if this job is worth applying to?
Redwood City, California, United States
Hybrid
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:
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 workflows for molecular design, ensuring the models are statistically rigorous, fit-for-purpose, and aligned with project decision-making needs.
Provide innovative ideas and models to 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.
Required Skills, Experience and Education:
Ph.D. in computational chemistry or related field.
5+ years of computational chemistry experience in the biotechnology/pharmaceutical industry, with a demonstrated track record of impactful contributions to drug discovery programs, including advancement of compounds, patents, publications, presentations, or key program decisions.
Expert-level knowledge 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.
In-depth 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 Ro5 and bRo5 modalities, including macrocycles, molecular glues, covalent ligands, or other challenging therapeutic modalities.
Experience working in HPC/cloud environments and developing scalable computational workflows.
Strong publication history demonstrating computational chemistry expertise and innovation.
Familiarity with data visualization tools and analytics tools for effective communication of insights.
#LI-Onsite #LI-SB1
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.
Please note that base pay salary range 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.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
