2026 Summer Intern - Computational Sciences

Roche•South San Francisco, CA

2d•$50•Onsite

About The Position

The Computational Sciences Center of Excellence (CS CoE) builds AI and data platforms that accelerate scientific discovery across Genentech Research and Early Development. Our teams partner closely with scientists to transform complex biomedical data into scalable, reusable capabilities that enable insight generation and data-driven decision-making. The Data & Digital Catalysts group within the Computational Sciences Center of Excellence is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We are dedicated to advancing our technical excellence by partnering with informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. Our goal is to modernize our ability to acquire, store, link, share, find, and analyze data across the organization through scalable and integrated solutions that make every data point count. This internship supports emerging AI search and insights capabilities that help scientists explore diverse biomedical data in more intuitive and meaningful ways. This internship position is located in South San Francisco, CA, on-site (hybrid possible depending on team alignment). As an AI/ML Engineering Intern, you will contribute to the prototyping of a multimodal semantic search system that enables scientists to retrieve biomedical data based on meaning rather than metadata. You will work alongside experienced engineers and scientists on a well-scoped, hands-on project with real-world impact.

Requirements

Must be pursuing a Bachelor's Degree (enrolled student).
Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).
Must be pursuing a Master's Degree (enrolled student).
Must have attained a Master's Degree.
Must be pursuing a PhD (enrolled student).
Must have attained a PhD.
Required Majors Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Biology, Biomedical Engineering, Bioinformatics, or a related field.
Proficiency in Python
Experience with machine learning or data-driven projects
Ability to work with complex datasets

Nice To Haves

Exposure to embeddings, semantic search, or vector databases
Experience with scientific, biomedical, or image-based data
Familiarity with modern ML libraries (e.g., Hugging Face)
Strong communication and collaboration skills
Alignment with Genentech’s values of Integrity, Courage, and Passion
Familiarity with ML frameworks (e.g., PyTorch)
Exposure to APIs or backend services

Responsibilities

Implementing machine-learning–based embedding pipelines
Supporting vector-based semantic search across diverse data types
Building simple APIs to enable search and retrieval workflows
Evaluating retrieval quality and system behavior
Presenting a working prototype and technical summary at internship close

Benefits

Intensive 12-weeks / 6 months / 12 months, full-time (40 hours per week) paid internship.
Program start dates are in May/June (Summer)
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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