2027 Spring Intern - Prescient Frontier Research

Genentech; South San Francisco (CA); On-site; USD 69,000 - 74,000; Full time

Benefits offered by this job

Stipend

12-week internship

Job summary

Genentech is seeking a PhD student for the 2027 Spring Intern - Prescient Frontier Research in South San Francisco. This 12-week, full-time paid internship focuses on foundational ML research and new algorithmic frameworks, with potential drug discovery applications.

The role requires pursuing a PhD, strong math and programming skills, and majors such as Mathematics, CS, EE, or Physics. Relocation is not offered; a location-based stipend is provided; Genentech is an equal opportunity employer.

Qualifications

• Must be pursuing a PhD (enrolled student).
• Majors include Mathematics, Applied Mathematics, Computer Science, Electrical Engineering, or Physics.
• Strong analytical/mathematical skills.
• Strong programming skills.

Responsibilities

• Participate in cutting-edge research in sampling and generative modeling.
• Develop well-documented code to facilitate adoption of the methods.
• Contribute to and drive publications, and present results at internal and external scientific conferences.

Skills

Analytical skills

Programming skills

Education

PhD in progress

Job description

The Position

2027 Spring Intern - Prescient Frontier Research

Department Summary

Frontier 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.
• 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 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.

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.