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You will build pipelines to convert clinical standards into executable modules and design the target syntax for guideline logic. Additionally, you will run experiments with various models and develop deterministic validators to ensure recommendation correctness.
Source: Paraform - https://www.paraform.com/share/compiled-health/cmtsxkxh100150cl7imvz606z
Compensation: $250,000-$400,000 base + competitive equity (up to 5% for a frontier-lab candidate, from a 15% pool; cash/equity ratio flexible) + health, dental, vision, flexible PTO, paid parental leave.
Location: Remote - US or Canada, with offsites several times a year. Visa: not open to visas (possible exceptions for frontier-lab employees).
Research role with production stakes: study how far frontier models can be pushed in extracting, structuring and proving clinical logic, design the experiments that settle what works, and ship the winning approach into the clinical compiler, which is live in Canadian public health care today. Ideal for someone who has published in clinical AI, wants out of the demo cycle, and believes clinical decision logic must be inspectable.
Build the pipeline converting clinical standards into executable modules: parsing with document and layout models, transformation, validation
Design and iterate the target syntax/representation for guideline logic (exclusions, precedence, recommendations)
Run experiments: open vs closed models, fine-tuning, constrained decoding
Co-design benchmarks and adversarial cases measuring source fidelity, logical completeness and recommendation correctness; error analysis
Develop deterministic validators using static analysis, constraint solving or formal methods to surface ambiguity, contradiction and source silence
Work directly with the founders and the clinicians who validate the outputs; turn model failures into hypotheses and better system design
Python, PyTorch, Transformers, LLMs, Static Analysis, SMT/SAT Solvers, FHIR, HL7 v2
Clinical AI research and formalization company compiling the standard of care into deterministic, evidence-traceable decision artifacts; compiler live in Canadian public health care. Founded by a physician who worked with OpenAI's health safety research team. ~6 people, founded 2024, $3M seed plus a committed billionaire family office.
3+ years of research or industry experience, or final-year PhD / postdoc
Published in clinical AI (strongly preferred)
Python, PyTorch, Transformers/LLMs; static analysis, SMT/SAT solvers; FHIR / HL7 v2 a plus
US or Canada based; US citizen/Green Card (visa exceptions possible for frontier-lab employees)
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