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Genentech

Intern - Frontier Research

2w

Genentech

South San Francisco, US · Internship · $50 – $50/hr

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