2025 Summer Intern - Machine Learning for Trial Design 

2025 Summer Intern - Machine Learning for Trial Design 
 

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 successful candidate for this role should have practical experience working with knowledge graphs, large language models, and state-of-the-art machine-learning libraries. Ideal candidates would have a working knowledge of graph-based transformers and be familiar with clinical data or electronic health records (EHR). 
 

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

The opportunity 

• Design and implement novel graph-based methods applied to knowledge graphs and tailored to the complexities of clinical trial data. 

• 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 and June 2024.

• Ownership of challenging and impactful business-critical projects.

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

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

• Final presentations of project work to senior leaders.

• Lead or participate in intern committees to design and coordinate program events and initiatives.

• Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.

• Participate in volunteer projects, social events, and team-building activities.
   

Who you are (required)
 

Required Education:

• Must be pursuing a Ph.D. degree
   

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

Required Skills: 

• Experience with LLMs and agent-based workflows 

• Experience with large structured databases such as knowledge graphs 

• Experience with training graph-based machine learning models 

• 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: 

• Strong publication record and experience contributing to research projects via publications in conferences such as NeurIPS, ACL, ICML, ICLR

• Previous experience with large clinical datasets (EHR, RWD) 

• Previous experience with biology concepts 

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

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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