Summary
Join the Frontier Research team at Prescient Design for an intensive summer internship focused on machine learning applications in drug discovery. This is an outstanding opportunity for graduate students passionate about research and innovation.
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Title:
2026 Summer Intern – Frontier Research, Prescient Design (AI for Drug Discovery)
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Details:
The Frontier Research team within Prescient Design (part of Genentech) is seeking exceptional PhD student interns with strong research backgrounds in machine learning or statistics. This role offers the opportunity to conduct cutting-edge research in simulation-based inference and adaptive experimental design inspired by real-world drug discovery challenges. The position is on-site in South San Francisco, CA.
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Subject Area:
Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Physics, Bayesian Decision Theory, Adaptive Experimental Design
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Eligibility:
- Currently pursuing a PhD in Computer Science, Statistics, Applied Math, Physics, or related field
- Strong publication record in top-tier conferences (NeurIPS, ICML, AISTATS, ICLR)
- Proficiency in Python and research frameworks involving sequential decision making under uncertainty
- Ability to reason about explore-exploit tradeoffs in adaptive inference
- Familiarity with simulation-based and causal inference preferred
- Excellent communication and teamwork skills
- U.S. work authorization required (no relocation benefits available)
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How to Apply:
Interested candidates can apply through Genentech’s official careers portal under the listing for 2026 Summer Intern – Frontier Research, Prescient Design. Applicants requiring accommodation for disabilities may contact via the Accommodations for Applicants form on the Genentech website.
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Last Date:
Applications will be accepted until positions are filled. Early submission is encouraged as the program begins in May/June 2026.
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Description:
This 12-week, full-time (40 hours/week) paid internship offers hands-on experience in developing and implementing advanced research methods in AI for drug discovery. Interns will:
- Conduct independent research in simulation-based inference
- Develop well-documented, reproducible code
- Present findings through publications for internal and external scientific venues
A competitive stipend ($50/hour) and paid holiday benefits are provided. This role is ideal for passionate researchers eager to explore the intersection of AI and drug discovery, contributing to Genentech’s mission of advancing human health through innovation.
Designation
2026 Summer Intern
Research Area
- AI for Drug Discovery
- Simulation-based Inference
- Bayesian Decision Theory
- Adaptive Experimental Design
Location
South San Francisco, CA
Eligibility/Qualification
- Must be pursuing a PhD (enrolled student)
- Relevant majors: Computer Science, Statistics, Applied Math, Physics, or related technical fields
- Required skills include:
- Strong publication record in research communities (e.g., NeurIPS, ICML)
- Proficient in Python software development
- Understanding of exploration-exploitation tradeoffs in adaptive inference procedures
- Research experience in sequential decision-making under uncertainty
- Preferred skills:
- Familiarity with simulation-based inference and causal inference
Job Description
- Participate in cutting-edge research aimed at drug discovery applications.
- Develop well-documented code for the implementation of methods.
- Present research results for publication in both internal and external scientific venues.
How to Apply
Interested candidates should apply through the official Genentech website. Click on the “Apply for this job” button to submit your application.
Last Date to Apply
January 5, 2026 (10 days left to apply)
This internship offers a competitive stipend and the chance to contribute to transformative scientific discoveries at Genentech, a leader in biotechnology.
