2026 Summer Intern - Regev Lab - Computational Biology & Single-Cell Genomics

2026 Summer Intern - Regev Lab - Computational Biology & Single-Cell Genomics

Department Summary

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 Opportunity

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.

Program Highlights

• 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.

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

Who You Are

Required Education:

• Must be pursuing a PhD (enrolled student).

Required Majors: Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field, with coursework or experience in genomics.

Required Skills:

• 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.

• Implement analyses, run patient-held-out evaluations, generate figures/tables, and deliver a concise written summary.

Preferred Knowledge, Skills, and Qualifications

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location ofCalifornia is $50.00 hourly. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.