2026 Summer Intern - Frontier Research, Prescient Design (AI for Drug Discovery)

Genentech • Daly City, CA

1d • $50 • Onsite

About The Position

The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning or statistics, a passion for independent research and technical problem solving, and a proven ability to develop and implement ideas from research. Intern candidates should have a strong interest in Bayesian decision theory and adaptive experimental design. This internship position is located in South San Francisco, CA, on site.

Requirements

• Must be pursuing a PhD (enrolled student)
• Computer Science, Statistics, Applied Math, Physics, or related technical field
• Strong publication record and experience contributing to research communities, including journals and conferences like NeurIPS, AISTATS, ICML, and ICLR
• Strong software development skills in Python
• Ability to reason formally about explore-exploit tradeoffs in adaptive inference procedures
• Research experience in frameworks involving sequential decision making under uncertainty

Nice To Haves

• General familiarity with simulation-based inference and causal inference is a plus.
• Excellent communication, collaboration, and interpersonal skills
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion

Responsibilities

• Participate in cutting-edge research in simulation-based inference inspired by drug discovery applications
• Develop well-documented code to facilitate adoption of the method
• Present results in the form of a publication, for submission to internal and external scientific venues
• Present results in the form of a publication, for submission to internal and external scientific venues

Benefits

• Intensive 12-week, full-time (40 hours per week) paid internship
• Program start date is in May/June (Summer).
• A stipend, based on location, will be provided to help alleviate costs associated with the internship.
• paid holiday time off benefits

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