2026 Summer Intern - Regev Lab - Perturbation Modeling
About The Position
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. 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.
Requirements
- Must be pursuing a PhD (enrolled student).
- Computer Science, Statistics, Mathematics, Computational Biology, Biostatistics, or a related field.
- 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.
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.
Benefits
- 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.
- 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
