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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