Summer Intern - Structure & Simulation, Prescient Design

Position: 2026 Summer Intern - Structure & Simulation, Prescient Design
The Position

2026 Summer Intern - Structure & Simulation, Prescient Design

Department Summary

The Structure & Simulation team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning and/or protein design and a passion for independent research and demonstrated ability to execute on innovative ideas.

This on-site/in-person internship position is located in South San Francisco, CA.

The Opportunity

• Participate in cutting-edge research in representation learning for protein design, particularly in developing novel representations of protein structures that unlock new ability on downstream tasks relevant to drug discovery.
• Prepare a manuscript for submission to a scientific journal and/or conference.

Program Highlights

• Intensive 12-weeks, 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 Ph.D. (enrolled student).

Required Majors:

• Computer Science, Physics, Biophysics, Bioinformatics, Applied Math, or related technical fields.

Required Skills:

• Excellent and proactive communication, collaboration, and interpersonal skills.
• Strong publication record and experience contributing to research communities, such as conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc.
• Strong software development skills in Python.

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.
• Prior experience in machine learning for protein design, particularly having worked with protein structures, is a plus but not required.
• Experience in representation learning, graph neural networks, computer vision (specifically in neural representations) is also a plus
• A track record of maintaining or contributing to open-source projects for research

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of the state of New York 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.