2026 Summer Intern - Biology Research | AI Development

The Position

2026 Summer Intern - Biology Research | AI Development

Department Summary

Biology Research | AI Development (BRAID) is a department within Genentech's Research and Early Development (gRED) group. Our mission is to advance biological discovery by developing and applying AI / ML methods across diverse data modalities to support drug and target discovery efforts, with the ultimate goal of improving human health.

We are seeking a highly skilled and motivated research intern to join the Perturbation Biology group within BRAID. Our group is dedicated to developing the next generation of AI / ML models to derive actionable insights from large-scale, high-content perturbation experiments. The internship will focus on designing strategies to integrate single-cell perturbation data, biological foundation models, and large language models to generate causal insights for drug and / or target discovery.

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

The Opportunity :

Develop and apply state-of-the-art machine learning frameworks to extract therapeutically relevant insights from high-content perturbation screens and biological foundation models.

Work on a variety of data modalities, including single-cell omics data, text, and molecular structures.

Collaborate with interdisciplinary and cross-functional teams including machine learning researchers, biologists, chemists, and other stakeholders.

Program Highlights

Intensive 12 weeks, full-time (40 hours per week) paid internship.

Program start dates are in May / June (Summer)

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

Required Skills

Strong foundation in machine learning, data science, and statistics.

Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch).

Familiarity with basic concepts in biology.

Preferred Knowledge, Skills, and Qualifications

Track record of tackling challenging biological problems with advanced computational methods.

Familiarity with single-cell foundation models and state-of-the-art representation learning frameworks.

Familiarity with analysis of high-content perturbation screens, such as Perturb-Seq.

Experience in developing and / or using large language models and AI agents.

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 per hour. 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 () .