Research Engineer (Fully Remote)

HealthTech Startup; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HealthTech Startup is seeking a research-focused engineer to turn clinical standards into verified decision logic. You will design and optimize pipelines that extract, validate, and module-ize clinical information for decision support.

This role blends frontier model research with production engineering to deliver robust healthcare AI systems. You will collaborate with clinicians and researchers to evaluate outputs, tighten safety, and push the boundaries of model-based clinical decision support

Qualifications

• 3+ years research/industry experience or PhD.
• Production Python, PyTorch, Transformers, and LLM evaluation skills.
• Healthcare or compiler/formal methods experience is valuable.

Responsibilities

• Build pipelines parsing clinical documents into validated modules.
• Run experiments with open/closed models, fine-tuning, and constrained decoding.
• Work with clinicians to evaluate outputs and improve systems.

Skills

Python

PyTorch

Transformers

LLM evaluation

Education

PhD in ML/CS/SE

Job description

• Builds a compiler that turns clinical standards into verified decision logic.
• Combines frontier model research with production engineering.

What You'll Do:

• Build pipelines parsing clinical documents into validated modules.
• Run experiments with open/closed models, fine-tuning, and constrained decoding.
• Work with clinicians to evaluate outputs and improve systems.

What We're Looking For:

• 3+ years research/industry experience or PhD.
• Production Python, PyTorch, Transformers, and LLM evaluation skills.
• Healthcare or compiler/formal methods experience is valuable.

They build a compiler that converts clinical standards into verified, traceable decision logic for patient care. This healthtech team combines frontier model research with production engineering to improve clinical decision support.