Intern, Bioinformatics

Revolution Medicines • Redwood City, CA

4h • $67,000 - $81,000 • 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:
We are seeking a highly motivated Bioinformatics Intern to support integrative analysis of single-cell datasets aimed at understanding tumor microenvironment responses to KRAS inhibitors. This role will focus on harmonizing and analyzing multi-source single-cell sequencing data to characterize treatment-induced cellular and molecular changes within tumors.
The intern will work closely with computational biologists and translational scientists to generate insights that inform therapeutic strategy and combination approaches.

Requirements

• Proficiency in Python (preferred) or R for data analysis.
• Experience working with high-dimensional biological datasets.
• Familiarity with machine learning or statistical modeling.
• Strong data wrangling and preprocessing skills.
• Understanding of molecular biology and genomics concepts.
• Ability to write clean, reproducible, and well-documented code.
• Strong analytical thinking and problem-solving skills.
• Effective written and verbal communication skills.

Nice To Haves

• Experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, AnnData).
• Familiarity with batch correction and dataset integration methods (e.g., Harmony, scVI, Seurat integration).
• Experience analyzing RNA-seq, ATAC-seq, or other sequencing-based assays.
• Knowledge of tumor immunology or tumor microenvironment biology.
• Experience with pathway enrichment or gene set analysis tools.
• Prior experience in cancer genomics or translational research.
• Experience working in a collaborative research environment.

Responsibilities

• Integrate multiple single-cell RNA-seq (scRNA-seq) across studies and platforms.
• Perform data preprocessing, quality control, normalization, and batch correction.
• Harmonize metadata and cell annotations across datasets.
• Conduct clustering, cell-type identification, and differential expression analyses.
• Characterize tumor microenvironment changes following KRAS inhibitor treatment, including immune infiltration shifts, myeloid reprogramming, T cell activation/exhaustion states, and stromal remodeling.
• Perform pathway enrichment and gene signature analyses.
• Generate clear visualizations.
• Develop reproducible, well-documented computational workflows.
• Present findings to cross-functional research teams.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed