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

OpenKrill; United States; À distance; USD 250 000 - 400 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental insurance

Vision insurance

Flexible PTO

Paid parental leave

Résumé du poste

Paraform is seeking a research-focused professional to study how far frontier models can be pushed in extracting, structuring and proving clinical logic. You will design experiments that settle what works and ship the winning approach into the clinical compiler, already live in Canadian public health care today.

The role involves building deterministic validators, co-designing benchmarks, and working directly with the founders and clinicians to translate model failures into improved system

Qualifications

• 3+ years of research or industry experience, or final-year PhD/postdoc.
• Published in clinical AI (preferred).
• Proficiency with Python, PyTorch, Transformers/LLMs.
• Familiarity with static analysis, SMT/SAT solvers, FHIR/HL7 v2 a plus.
• US or Canada based; visa restrictions may apply for frontier-lab roles.

Responsabilités

• Design experiments to push frontier models for clinical logic.
• Build pipeline to convert clinical standards into executable modules.
• Collaborate with founders and clinicians to validate outputs.
• Develop deterministic validators to surface ambiguity and contradictions.
• Run experiments comparing open vs closed models, fine-tuning, and constrained decoding.

Connaissances

Research experience

Clinical AI familiarity

Python

PyTorch

Transformers/LLMs

Static analysis

SMT/SAT solvers

Formation

Final-year PhD / postdoc

3+ years of research/industry experience

Outils

FHIR

HL7 v2

Description du poste

Source: Paraform - https://www.paraform.com/share/compiled-health/cmtsxkxh100150cl7imvz606zCompensation: $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.

• 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)