Intern, Bioinformatics

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.

• 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.

Required Skills, Experience and Education:

• 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.

Preferred Skills:

• 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. 

  #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 contact privacy@revmed.com.

Base Pay Salary Range$67,000—$81,000 USD

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