compiler · clinical standards · AI
ABOUT THE ROLE
Join a health technology team building a production compiler that turns clinical standards into executable, verifiable decision logic. This research-focused role combines rigorous experimentation with production engineering to improve the reliability and traceability of clinical AI.
WHAT YOU'LL DO
- Build a pipeline to parse clinical standards and transform them into validated executable modules.
- Design and refine a target syntax for representing guideline logic.
- Evaluate open and closed models, fine-tuning approaches, and constrained decoding techniques.
- Develop benchmarks, datasets, metrics, and adversarial cases to assess clinical fidelity and recommendation correctness.
- Analyze model errors and turn findings into experiments and improvements to the production compiler.
- Build deterministic validators using static analysis, constraint solving, or formal methods to expose ambiguity, contradiction, and missing source guidance.
- Collaborate with clinicians and technical leaders to validate outputs and ensure traceability to source material.
WHAT WE'RE LOOKING FOR
- At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
- A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Production experience shipping ML or NLP systems, including engineering work beyond research roles.
- Strong Python, PyTorch, and Transformers ecosystem skills, with experience in LLM evaluation, training, or prompt engineering.
- Experience validat