Intern, Computational Oncology

Revolution Medicines • Redwood City, CA

13h • Hybrid

About The Position

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:
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.

Requirements

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

Nice To Haves

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

Responsibilities

• 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.

What This Job Offers

• Career Level: Intern