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Compiled Health - Member of Technical Staff, Compiler (Remote)

Role overview

Qualifications

  • Published in clinical AI
  • Experience in designing experiments
  • Knowledge of clinical decision logic
  • Proficiency in tech stack including Python and PyTorch

Responsibilities

  • Build the pipeline converting clinical standards into executable modules
  • Design and iterate the target syntax/representation for guideline logic
  • Run experiments: open vs closed models, fine-tuning
  • Develop deterministic validators using static analysis or formal methods

Key facts

  • Remote from: Canada, North America
  • Full time
  • Senior (5-10 years)
  • Healthcare Administrator
  • English

Hard skills

Other skills

  • Problem Solving
  • Collaboration

About the company

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decircle

  • Staffing & Recruiting
  • 1–1
We partner with disruptive organizations to help identify and attract talent. A boutique recruitment agency that focuses on blockchain and web3. We enjoy networking with Web3 and decentralization enthusiasts and help them find their place in the decentralized world.

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Job description

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).

About this role

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.

What you'll do

  • 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

Tech stack

Python, PyTorch, Transformers, LLMs, Static Analysis, SMT/SAT Solvers, FHIR, HL7 v2

About Compiled Health

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.

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