Clinicians
Turn workflow pain points, diagnostic questions, treatment decisions, or quality-improvement priorities into rigorous AI research projects.
Clinical partners
Turn clinical insight into AI work that can publish, validate, and translate.
Sunlab works with clinicians, pharmaceutical scientists, medical students, residents, and fellows who want to convert real healthcare problems into validated AI systems, publishable studies, and translational collaborations.
Clinical questions become testable AI projectsTrainees gain technical research leveragePartners get validation-ready study designs
Pharmaceutical Scientists
Collaborate on clinical trial design, patient matching, endpoint prediction, therapeutic discovery, real-world evidence, and safety analytics.
Medical Students, Residents, and Fellows
Join focused projects where clinical insight, chart review, cohort definition, validation, and careful interpretation are central to success.
What makes a strong collaboration?
The best projects usually have a clear clinical decision point, access to relevant data or validation expertise, and a path to a paper, prototype, workflow study, or broader partnership.
Clinical prediction or risk stratification
Trial recruitment, eligibility, and outcome prediction
Medical LLM evaluation and workflow integration
Real-world evidence and observational data analysis
Biosignal, imaging-adjacent, or multimodal health data projects
Synthetic data, privacy, and data-sharing infrastructure
Email a clinical partnership note.
Send a short note with your role, clinical or scientific question, available data or validation setting, timeline, and what outcome would be valuable. Trainees should also include a CV and any coding, statistics, or prior research experience.