2025 Summer Intern – BRAID, Machine Learning for Trial Design
Job location
South San Francisco, US
Type
Full Time
Responsibilities:
Ownership of challenging and impactful business-critical projects.
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.
Requirements & Skills:
The ideal candidate should have hands-on experience in developing vision foundation mode to quantify imaging biomarkers.
Implement and/or apply novel vision foundation model for clinical trials.
Hands on experience with real clinical trial data.
Must be pursuing a Ph.D. (enrolled student).degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioengineering, or a related field.
Deep understanding of vision foundation models and in-depth knowledge of current SoTA in medical foundation models, 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).
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.
