2026 Summer Intern - Foundation Models, Prescient Design

2026 Summer Intern - Foundation Models, Prescient Design

Department Summary

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.

The Opportunity

• 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.

Program Highlights

• 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.

Who You Are:

Required Education

Must be pursuing a PhD (enrolled student).

Required Majors
Computer Science, Machine Learning, Computational Biology, Structural Biology, Biophysics, or related technical field.

Required Skills:

• 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

Preferred Knowledge, Skills, and Qualifications

• 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)

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

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of CA is$50.00 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.