2026 Summer Intern - Foundation Models, Prescient Design
About The Position
The Foundation Models team within Prescient Design (AI4DD) seeks exceptional graduate student interns with a demonstrated research background in deep learning applied to biological systems. We are looking for candidates with a passion for independent research and technical problem-solving to help us develop core Foundation Models that transform the drug discovery process. You will join a multidisciplinary team building and leveraging LLMs and biological Foundation Models for protein design and retrieval. This internship position is located in South San Francisco, on-site / NYC, on-site / Fully remote.
Requirements
- Must be pursuing a PhD (enrolled student).
- Computer Science, Machine Learning, Computational Biology, Structural Biology, Biophysics, or related technical field.
- 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
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Nice To Haves
- Hands-on experience with Transformer-based architectures and modern LLM paradigms
- Experience with foundation models for biology or chemistry, large language models (LLMs), or geometric deep learning applied to biological problems.
- Protein Data: Prior experience working with protein structural or sequential data.
- Large-Scale Training & Infrastructure: Familiarity with distributed training techniques, GPU profiling/optimization, or working in High-Performance Computing (HPC) environments (e.g., Slurm, Docker, Kubernetes)
Responsibilities
- Participate in cutting-edge research advancing Foundation Models for applications to drug discovery and protein design
- Develop well-documented code to facilitate adoption of the methods.
- Prepare a manuscript for submission to a scientific journal and/or conference.
Benefits
- Intensive 12-week, 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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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
