2026 Summer Intern - Genentech gRED Computational Sciences - Center of Excellence

Genentech • South San Francisco, CA • 17h ago

The Position

Department Summary

At Genentech Research & Early Development (gRED), the Data Digital Catalysts group within the Computational Sciences - Center of Excellence department is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We focus on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. By leveraging modern computational approaches, we aim to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.

Within Computational Catalysts, our team specializes in the practical applications of AI to develop the next generation of tools for scientists and optimize operations. We work on diverse, impactful projects such as streamlining the authoring and review of regulatory documents, enhancing data exploration through chat-driven search, and integrating AI into visualization tools to interpret data and provide @contextual insights. Our mission is to deliver scalable, innovative solutions that empower scientists and drive meaningful advancements in medicine.

This internship position is located in South San Francisco, Hybrid (3 days on site).

The Opportunity

Research on efficient Tool Calling framework, like Tool-to-Agent Retrieval

Implement LLM Deep Research Agent Solution for searching industry information sources

Design and implement multi-agents solution with customized evaluations

Implement and Scale industry level MCPs

Orchestrate different workflows on processes, information sources, and more

Program Highlights

Intensive 12-weeks , full-time (40 hours per week) paid internship.

Program start dates are in May/June

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 Education

Must be pursuing a PhD (enrolled student) or attain graduated degrees

Master students with research experience are welcome to apply.

Required Majors

Computer Science, Data Science, Computation Biology or related STEM fields

Required Skills

Proficiency in Python, experience with API designs, frontend development

Familiarity with one of OpenAI, Gemini, Claude APIs

Experience with Cloud Services like AWS

Strong problem-solving abilities and the ability to work independently and collaboratively.

Interest in contributing to cutting-edge scientific research.

Preferred Knowledge, Skills, and Qualifications

Excellent communication, collaboration, and interpersonal skills.

Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Experience with AWS at least one AWS Service, EC2, Sagemaker, Bedrock, etc

Experience with RAG process

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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