Genentech · 1 week ago
2026 Summer Intern - Translational Safety
South San Francisco, CA
Internship
Onsite
Intern
$50/hr - $50/hr
Start in 2026 SpringGenentech is a leading biotechnology company focused on drug discovery and development. They are seeking a 2026 Summer Intern in Translational Safety to work with computational scientists and pathologists on developing advanced deep learning frameworks for whole slide image analysis, enhancing the safety assessment of therapeutic molecules.
BiotechnologyLife ScienceManufacturing
Responsibilities
Algorithm Development: Conceptualize and implement deep learning-based image analysis algorithms, specifically focusing on MIL and attention mechanisms
Data Pipeline Engineering: Handle large-scale whole slide images (WSI), including preprocessing, artifact removal, and patch extraction
Scientific Collaboration: Work alongside pathologists to interpret model outputs and validate that computational findings align with biological reality
Research & Presentation: Adapt existing research code/papers to internal data and present your findings to the department at the conclusion of the internship
Qualification
Required
Must be pursuing a Master's Degree (enrolled student)
Must have attained a Master's Degree
Must be pursuing a PhD (enrolled student)
Biomedical Engineering, Bioinformatics, Computer Science, Electrical Engineering, Computational Biology, Data Science, Applied Mathematics, Statistics, or a related field
Demonstrated experience working on projects from conceptualization to delivery
Demonstrated research experience. Experience reading and adapting research code/papers
Proficiency in a general purpose computing language (e.g. C++, Python, javascript). Python is preferred, but not required
Interest in the intersection of biomedical sciences and image analysis
Enthusiasm to learn about and implement cutting edge AI solutions for computational problems
Preferred
Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Advanced Deep Learning Architectures: Knowledge of modern computer vision backbones (e.g., ResNet, ViT, ConvNeXt) and a strong conceptual understanding of attention mechanisms (e.g., Self-Attention, Cross-Attention) particularly as applied to feature aggregation and Multiple Instance Learning (MIL)
Whole Slide Image (WSI) Processing: Experience handling gigapixel-resolution medical images. Familiarity with standard WSI libraries (e.g., OpenSlide, TiffFile, Monai) and preprocessing pipelines (tissue detection, artifact removal, and patch extraction/tiling)
HPC & Linux Environments: Comfort working within Linux/Unix shell environments (bash scripting) and managing heavy training workloads on High-Performance Computing (HPC) clusters using job schedulers like Slurm
Deep Learning Implementation: Practical experience implementing, training, and evaluating models in PyTorch. Familiarity with modern training optimizations (e.g., autocasting, flash attention, distributed data parallel) is a strong plus
Biomedical Data Context: Experience working with microscopy or medical imaging data, understanding the nuances of 'Many-to-One' data mapping problems
Code Quality: Programming proficiency including coding best practices, modular design, and version control (git)
Benefits
Paid holiday time off benefits
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
Founded in 1976
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-23
Genetic Engineering News
2026-01-23
Company data provided by crunchbase