2026 Summer Intern - Regev Lab - Perturbation Modeling

2026 Summer Intern - Regev Lab - Perturbation Modeling

Department Summary

Large-scale perturbation datasets make it possible to study cause-and-effect in biology at unprecedented scale, but a persistent challenge is that responses often depend strongly on context. The Regev Lab, Lubeck Lab and the Perturbation team led by Jan-Christian Huetter at Biology Research AI Development (BRAID) department are looking to develop computational approaches that can learn what aspects of a response are broadly shared versus context-specific, enabling more reliable prediction and more general insights across diverse biological settings.

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

The Opportunity

Over the course of this internship we will build models that connect baseline measurements of a system to its response under intervention, while prioritizing approaches that remain interpretable and scientifically useful. As an extension, we will explore ways to identify a minimal set of representative contexts that yields strong generalization, helping guide efficient study design when comprehensive coverage is not feasible.

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: Computer Science, Statistics, Mathematics, Computational Biology, Biostatistics, or a related field.

Required Skills: 

• Deep Learning & Python Proficiency: Strong experience with Python and deep learning frameworks (specifically PyTorch). Familiarity with implementing or fine-tuning Transformer architectures and an understanding of generative models is highly desirable.

• Computational Biology & Single-Cell Analysis: Experience working with single-cell genomic data formats (e.g., AnnData, MuData).

• Scientific Communication: Ability to synthesize complex multimodal analysis into clear visualizations and communicate analysis findings.

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.

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