2025 Summer Intern – gCS BRAID, Machine Learning for Trial Design Full-time

2025 Summer Intern – gCS BRAID, Machine Learning for Trial Design (GenAI/Causality)

Department Summary

We are seeking a highly skilled and motivated research intern to join the BRAID team (Biology Research | AI Development) within our Computational Sciences organization. At BRAID, we develop machine-learning methods for different applications in drug development. Within the clinical team in BRAID, we focus on building machine-learning methods to improve the design of early clinical trials. Fundamentally, we collaborate with clinical scientists, biologists, and engineers to design the next-generation clinical trials.

The ideal candidate should have hands-on experience in developing generative AI or causal ML methods. Experience with clinical / biological data, multivariate time series, or multimodal data is highly desirable.

This internship position is located on-site in South San Francisco.

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 May/June (Summer).
• 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

Relocation benefits are not available for this job posting.

The expected salary for this position based on the primary location of California is $50 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

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