Intern, Computational Oncology

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 includes RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins and RAS Companion Inhibitors for use in combination treatment strategies. The Opportunity We are 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. The 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, and 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 a 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. Base Pay Salary Range

$67,000 — $81,000 USD

Equal Opportunity Employer 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. #J-18808-Ljbffr SupportFinity™