The Opportunity 

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 

Program Highlights 

Intensive 12-week, full-time (40 hours per week) paid internship. 

Program start dates are in September (Fall). 

A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

Ownership of challenging and impactful business-critical projects. 

Work with some of the most talented people in the biotechnology industry. 

Who You Are 

Required Education: Must be pursuing a PhD (enrolled student). 

Required Majors: Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioengineering, or a related field. 

Required 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) 

Preferred Knowledge, Skills, and Qualifications: 

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