Senior Scientist I, Computational Chemistry at Revolution Medicines

Redwood City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

186000.0

Posted On

23 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Chemistry, Structure-Based Drug Design, Virtual Screening, Molecular Dynamics Simulation, Quantum Mechanics Calculations, Pharmacophore Modeling, Python, R, Bash, Machine Learning, Cheminformatics, Data Science, SAR Analysis, Protein-Ligand Analysis, HPC Environments, Data Visualization

Industry

Hospitals and Health Care

Description

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking a motivated Senior Scientist I to 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 teams in 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 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 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, 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 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. 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. Base Pay Salary Range $149,000—$186,000 USD 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.

Responsibilities

Drive drug discovery by partnering with multidisciplinary teams to design and optimize novel drug candidates using structure-based computational methods. Implement virtual screening workflows and leverage machine learning and physics-based models to accelerate lead optimization for RAS-addicted cancers.