2026 Summer Intern - Frontier Research, Prescient Design
About The Position
The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in statistics and/or machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement research ideas. This on-site/in-person internship position is located in South San Francisco, CA. The Opportunity Participate in cutting-edge research advancing statistical and machine learning methods for the design and analysis of clinical trials. 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 or June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Who We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours. To apply today, click on the "Apply for this job" button.
Requirements
- Must be pursuing a Ph.D. (enrolled student).
- Statistics, Computer Science, Biostatistics, Applied Math, Physics, or related technical field.
- Excellent and proactive communication, collaboration, and interpersonal skills.
- Strong background and research experience in applied and/or theoretical statistics, as demonstrated by publications in statistics journals or conferences such as AISTATS, ICML, NeurIPS, etc.
- Strong software development skills in Python.
Nice To Haves
- Prior experience working with clinicogenomic, electronic health record, or other patient biomedical data is a plus, but not required.
- Familiarity with survival analysis is a plus, but not required.
Responsibilities
- Participate in cutting-edge research advancing statistical and machine learning methods for the design and analysis of clinical trials.
- Develop well-documented code to facilitate adoption of the methods.
- Prepare a manuscript for submission to a scientific journal and/or conference.
Benefits
- paid holiday time off benefits
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
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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
