Scientist II, Computational Chemistry

Key Skills

Bash scripting, C Programming, Cheminformatics, Data Analysis, Data science techniques, Design, Drug Discovery, Effective communication skills, High performance computing- HPC, Java Programming, Machine learning techniques, Python Programming, R Programming

Job Description

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit high-value 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 to our Computational Chemistry team, you will:

• Partner with multidisciplinary, collaborative teams to design, optimize, and accelerate the discovery of novel drug candidates using computational methods.
• Enhance our understanding of SAR from Ro5 and bRo5 projects using state of the art computational methodologies including structure-based and machine learning approaches.
• Predict protein-protein interfaces (PPI) using machine learning models to complement and inform screening and optimization of PPI inhibitors and/or stabilizers.
• Predict compound properties and activities using machine learning models for multi-parameter optimization and prioritization of compound designs.
• Run computational chemistry software and models in a cloud high-performance computing (HPC) environment to rapidly run computational experiments.
• Serve as computational chemistry representative on drug discovery pipeline projects.

Required Experience, Skills, and Education:

• PhD. in computational chemistry or related field.
• Minimum 2 years of computational chemistry experience in the biotechnology/pharmaceutical industry
• Knowledge of contemporary computational chemistry methods and their use in protein-ligand analysis and drug design.
• 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 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.

The expected salary range for this role is $130,000 to $165,000. An individual’s position within the range may be influenced by multiple factors, including skills and experience in role, overall performance, individual impact and contributions, tenure, and market dynamics. 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.

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.