2026 Summer Intern - AI for Drug Discovery, Prescient Design
About The Position
We are rewriting the rules of medicine at Genentech Research and Early Development (gRED) . We sit at the intersection of artificial intelligence and biology, leveraging cutting-edge machine learning to discover novel therapeutics protein designs. Our mission is to accelerate the path from code to cure, tackling diseases that were previously considered undruggable. This internship position is located in New York, New York or South San Francisco, California . The discovery and optimization of therapeutic antibodies is typically a slow, high-risk process. While Next-Generation Sequencing (NGS) provides us with millions of raw protein sequences from nature, translating this biological diversity into clinical candidates remains a massive challenge. We are looking for a Machine Learning Research Intern to reframe protein optimization as a sequential decision-making problem. You will build a machine learning system inspired by Reinforcement Learning (RL) agents that mimic the adaptive immune system, learning strategies to navigate the vast sequence space and deliver "developable" cures. Program Highlights Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in May/June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful projects. Work with some of the most talented people in the biotechnology industry.
Requirements
- Must be pursuing a PhD (enrolled student) or a Master's Degree (enrolled student).
- Computer Science, Machine Learning, Computational Biology, Physics, Chemistry, Applied Math, Bioinformatics or related fields in Natural Sciences.
- Deep Learning for Biology: Strong background and research experience applying deep learning to biological data
- Software Engineering & DL frameworks: Strong proficiency in Python w/ extensive experience in modern deep learning frameworks (e.g. PyTorch). Ability to write modular, testable, and efficient code for model training and evaluation
- Collaboration: Excellent and proactive communication, collaboration, and interpersonal skill
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Fluency in Python and deep learning frameworks ( PyTorch preferred, JAX).
- Background Knowledge in immunology is a plus but not required
Benefits
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
