2026 Summer Intern - Regev Lab - Perturbation Modeling

RocheSouth San Francisco, CA
1d$50 - $50Onsite

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. 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

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