2027 Spring Intern - Prescient Frontier ResearchDepartment SummaryFrontier Research is a specialized unit within the Computational Sciences CoE at Genentech / Roche, dedicated to foundational machine learning research and the development of new algorithmic frameworks. We seek an exceptional graduate student intern with a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement research ideas.
This internship position is located in
South San Francisco, on-site. The Opportunity- Participate in cutting-edge research in sampling and generative modeling, with potential applications to drug discovery.
- Develop well-documented code to facilitate adoption of the methods.
- Contribute to and drive publications, and present results at internal and external scientific conferences.
Program Highlights- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in January 2027 (Spring).
- 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: Mathematics, Applied Mathematics, Computer Science, Electrical Engineering, Physics.
Required Skills- Strong analytical/mathematical skills.
- Strong programming skills.
Preferred Knowledge, Skills, and Qualifications- Excellent communication, collaboration, and interpersonal skills.
Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $52.00 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.
