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compiler · clinical standards · executable decision logic
ABOUT THE ROLE
Join a healthtech team developing a compiler that turns clinical standards into executable, traceable decision logic used in public healthcare. This research-focused role has production impact, combining experiments with frontier models and engineering work to improve clinical accuracy and reliability.
WHAT YOU'LL DO
- Build and improve pipelines that parse clinical documents and transform standards into validated executable modules.
- Design and iterate on 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 to assess clinical fidelity and recommendation correctness.
- Analyze model errors and turn findings into experiments and improvements to the production compiler.
- Create deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity and contradictions.
- Collaborate with clinicians and technical leaders to validate system outputs and clarify clinical logic.
WHAT WE'RE LOOKING FOR
- At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience, with a track record of production engineering beyond research work.
- Experience shipping ML or NLP systems to production and a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Production-level Python, PyTorch, and Transformers experience, plus experience with LLM evaluation, training, or prompt