2025 Fall Intern – Genentech Computational Sciences – Biology Research | AI Development, Machine Learning
Job location
South San Francisco, California, United States of America
Type
Full Time
Responsibilities:
Design and implement novel generative AI / causal ML methods for clinical trials
Train large-scale models using cloud and HPC infrastructure
Deliver high-quality code and actively participate in code reviews
Keep accurate and timely records of research findings and progress
If suitable, submit findings to a relevant conference or journal
Requirements & Skills:
Deep understanding of Causality and Causal Reasoning, with active research involvement in Causal ML OR in-depth knowledge of current SoTA in Generative AI, with ongoing research contributions in the field
Strong programming skills with practical experience working with large datasets
Proficient in Python and experience with state-of-the-art machine learning libraries (PyTorch, JAX)
Familiarity with fundamental ML concepts and modern ML architectures (e.g., transformers)
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Strong publication record in conferences such as NeurIPS, ICML, ICLR
Previous experience with large clinical or biological datasets
