Intern, Computational Oncology

Confirmed live in the last 24 hours

Revolution Medicines

Compensation

$81,000 USD

Redwood City, California, United States

Hybrid

Posted April 24, 2026

Job 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:

Revolution Medicines is seeking a motivated summer intern to evaluate computational strategies for resolving tumor and tumor microenvironment (TME) states from bulk, single-cell, and spatial transcriptomic data in oncology. This project will focus on benchmarking deconvolution methods and assessing single-cell analysis best practices to determine the most biologically accurate and reproducible approaches for studying treatment response and resistance to targeted therapies, including RAS(ON) inhibitors.

Evaluate Deconvolution Methods:
Review leading bulk and spatial deconvolution tools.
Benchmark selected methods using curated datasets and single-cell references.
Assess robustness in detecting immune shifts, resistant tumor states, and TME remodeling.
Test Single-Cell Analysis Best Practices:
Compare normalization, integration, and batch correction strategies.
Evaluate clustering robustness and annotation reproducibility.
Assess the impact of different processing steps on biological interpretation.

Required Skills, Experience and Education:

Pursuing a BS or MS in Computational Biology, Bioinformatics, Systems Biology, or related field.
Proficiency in R and Python.

Preferred Skills:

Experience analyzing RNA-seq data (bulk and/or single-cell).
Experience with Seurat, Scanpy, or scVI.
Familiarity with tumor microenvironment biology.

#LI-Hybrid #LI-AP1

The base pay salary range for this intern 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 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 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 conta

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