Client Roles
ABOUT THE ROLE
Join a healthtech team building a production compiler that turns clinical standards into executable, inspectable decision logic. This research-focused role combines rigorous experimentation with production engineering to improve the reliability and traceability of clinical AI systems.
WHAT YOU'LL DO
- Build a pipeline that parses clinical documents, transforms their content, and validates executable modules.
- Design and refine a target syntax for representing guideline logic.
- Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.
- Develop benchmarks, datasets, metrics, and adversarial cases for clinical fidelity and recommendation correctness.
- Analyze model errors and turn findings into experiments and improvements to the production compiler.
- Work with clinicians and technical leaders to make exclusions, precedence, recommendations, and source evidence explicit.
- Build deterministic validators using static analysis, constraint solving, or formal methods to identify ambiguity, contradictions, and missing source evidence.
WHAT WE'RE LOOKING FOR
- At least 3 years of research or industry experience, or current final-year PhD or postdoctoral experience.
- Production experience shipping ML or NLP systems, beyond research prototypes.
- A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Production-level Python, PyTorch, and Transformers ecosystem skills, plus experience with LLM evaluation, training, or prompt engineering.
- Abi