2026 Summer Intern - Computational Sciences

Genentech • South San Francisco, CA • 18h ago

The Position

Department Summary

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).

The Opportunity

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.

Key responsibilities include:

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 proto@type and technical summary at internship close

Program Highlights:

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.

Required Education

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.

Required Skills

Proficiency in Python

Experience with machine learning or data-driven projects

Ability to work with complex datasets

Preferred Knowledge, Skills, and Qualifications

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) (Preferred)Exposure to APIs or backend services (Preferred)

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.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

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