2026 Summer Intern - Regev Lab - Complex Communication

Genentech • South San Francisco, CA • 4h ago

The Position

Department Summary

Colorectal cancer progression is driven not only by tumor-intrinsic genetic mutations, but also by how those mutations remodel the surrounding tumor microenvironment (TME) and cell-to-cell communications. This project aims to decipher the complex communication between cancer cells, immune cells, and fibroblasts using a physiological in vivo model. By employing inducible gene-editing technologies combined with optical pooled screens (OPS) and multimodal spatial phenotyping, we seek to understand how specific genetic perturbations allow tumors to manipulate their surroundings.

This internship position is located in South San Francisco, on-site.

The Opportunity

The intern will play a key role in the execution and analysis phase of this study, with a primary focus on processing and integrating high-dimensional sequencing and spatial imaging datasets. Depending on the candidate's background and interest, the role may also include experimental work such as tumor harvesting, tissue sectioning, and library preparation. The expected outcome is a high-resolution spatial map of tumor-immune interactions. The project is estimated to take 3 months, with the possibility of an extension to 6 months for follow-up studies.

Program Highlights

Intensive 15-weeks , full-time (40 hours per week) paid internship.

Program start dates are in 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, Molecular Biology, Immunology, or a related field.

Required Skills:

Sequencing Data Analysis (for computational candidates): Proficiency in analyzing high-dimensional sequencing datasets and identifying key biological perturbations.

Multimodal Data Integration (for computational candidates): Ability to assist in aligning sequencing data with spatial imaging results to interpret complex cell-cell interactions.

Genomics & Tissue Techniques (for experimental candidates): Experience with tissue processing, library preparation, and molecular biology techniques is required.

Tumor Biology & Immunology: A strong foundational knowledge of cancer biology or immunology to help interpret the biological significance of screen results.

Communication & Collaboration: Strong skills in documenting analytical pipelines and collaborating effectively within a multidisciplinary team of biologists and data scientists.

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 of California 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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

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