2025 Summer Intern – Biology Research | AI Development – Perturbation Full-time

2025 Summer Intern – Biology Research | AI Development (BRAID) – Perturbation Biology

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 the BRAID department. Our dynamic and creative team is dedicated to developing the next generation of AI/ML models to derive actionable insights from large-scale, high-content perturbation experiments and to predict the outcome of unseen perturbations to drive experimental design.

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

The Opportunity

• Design and apply machine learning algorithms to gain insights from high-content perturbation screens and to guide their experimental design, employing model classes such as representation learning and geometric deep learning.
• Work on a variety of different data modalities, such as molecular structures, omics data, images, and text.
• Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.
• Program start dates are in May/June 2025.
• 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)

Required Education:

• Must be pursuing a PhD (enrolled student)

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

Required Skills:

• Strong foundation in machine learning, data science, and statistics.
• Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with basic concepts in biology.

Preferred Knowledge, Skills, and Qualifications

• Track record of tackling challenging biological problems with advanced computational methods.
• Familiarity with analysis of high-content perturbation screens, such as Perturb-Seq.
• Familiarity with self-supervised representation learning methods, such as contrastive learning.
• 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.

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