2025 Summer Intern - gRED gCS Computational Catalysts

Genentech • South San Francisco, CA

351d • $45 - $50

About The Position

At Genentech Research & Early Development Computational Sciences (gCS), our mission is to collaborate across the organization to harness the power of data, technology, clinical sciences, and computational approaches to revolutionize target and therapeutic discovery and development, ultimately enabling novel treatments for patients worldwide. The Computational Catalysts group within gCS 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 position is located in South San Francisco, on-site.

Requirements

• 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.
• Proficiency with frontend development, particularly using React, Next.js, or similar frameworks.
• Understanding of Large Language Models, Knowledge Graphs, and Vector Databases.
• Experience using Autogen, LangChain, LlamaIndex, or similar frameworks.

Nice To Haves

• Intermediate proficiency in Python and familiarity with Python-based data processing tools.
• Experience with cloud technologies, particularly in relation to hosting scalable AI models and vector databases.
• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Responsibilities

• Collaborate with the AI Engineering team to integrate LLMs into systems in a scalable and efficient manner.
• Develop knowledge graph representations of healthcare data.
• Work with frameworks like Next.js to build and maintain user interfaces.
• Collaborate with cross-functional team members to build and maintain data pipelines.

Benefits

• A stipend, based on location, will be provided to help alleviate costs associated with the internship.
• Paid holiday time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees