About this role
The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning or statistics. Interns need a passion for independent research and technical problem solving, plus a strong interest in Bayesian decision theory and adaptive experimental design. This position requires onsite work in South San Francisco, CA.
Interns participate in cutting-edge research in simulation-based inference inspired by drug discovery applications. They develop well-documented code to facilitate adoption of the method. Results are presented in the form of a publication for submission to internal and external scientific venues.
Join Genentech's Prescient Design team focused on AI for drug discovery. The intensive 12-week, full-time paid internship runs 40 hours per week starting in May or June. A location-based stipend helps alleviate associated costs.
Contribute to research communities through publications at venues like NeurIPS, ICML, and ICLR. Apply skills in sequential decision making under uncertainty and explore-exploit tradeoffs. The role aligns with Genentech's culture of Integrity, Courage, and Passion.
Requirements
- Pursuing a PhD as an enrolled student
- Major in Computer Science, Statistics, Applied Math, Physics, or related technical field
- Strong publication record and experience contributing to research communities including 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
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
- Conduct independent research in machine learning or statistics
- Implement ideas involving Bayesian decision theory and adaptive experimental design
- Reason about explore-exploit tradeoffs in adaptive inference procedures
Benefits
- Intensive 12-week full-time paid internship at 40 hours per week
- Program starts in May or June
- Stipend based on location to help alleviate costs
- Paid holiday time off benefits
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