2026 Summer Intern - Regev Lab - Computational Biology & Single-Cell Genomics
About The Position
This project offers an opportunity for an intern to work at the intersection of computational analysis and cancer biology to better understand how cancer development varies across different tissues. The intern will analyze large-scale single-cell atlases spanning multiple cancer types and organs to identify patterns that are broadly shared versus tissue-specific, helping to clarify how cellular behaviors and gene activity shift as cancers progress. This internship position is located in South San Francisco, on-site. The intern will apply and evaluate statistical modeling approaches that account for key sources of variability across samples, perform robustness checks to assess reproducibility across datasets, and communicate findings through clear, publication-ready visualizations and a well-documented analysis workflow. This project is well-suited for candidates with experience in statistical modeling and analysis of high-dimensional biological data. Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in May/June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Work with some of the most talented people in the biotechnology industry.
Requirements
- Must be pursuing a PhD (enrolled student).
- Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field, with coursework or experience in genomics.
- Experience working in Python (and/or R) for statistics and data analysis.
- Experience with linear mixed models; comfort interpreting effect sizes, confidence intervals, and interaction terms.
- Experience with single-cell RNA-seq analysis using Scanpy (scverse) or similar frameworks; familiarity with trajectory analysis or ligand–receptor inference methods is a plus.
- Experience designing benchmarks/evaluation metrics and comfort working in HPC/cluster environments.
- Strong reproducible research habits (Git, notebooks, clear documentation) and communication/collaboration skills.
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Responsibilities
- Implement analyses
- Run patient-held-out evaluations
- Generate figures/tables
- Deliver a concise written summary
Benefits
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
