We build AI tools for hospital systems. Our newest product automatically summarises clinical notes for care transitions — when a patient is discharged, the system produces a structured handoff document for the receiving provider.
We need a clinical NLP engineer to improve our summarisation quality. The current model is good on straightforward cases and poor on patients with multiple comorbidities, complex medication histories and non-standard clinical language.
You'll work with our clinical team (doctors who review outputs daily), our annotation team, and our data science infrastructure team.
HIPAA compliance is non-negotiable. All patient data is de-identified before it reaches our models.
Requirements
– Clinical NLP experience — MIMIC, i2b2, or real EHR data
– Summarisation models (BART, Pegasus, BioBART, or similar)
– HIPAA-compliant data handling practices
– Comfortable communicating findings to clinical stakeholders
– Production experience, not just research
Job Type
Full-time
Level
Senior
Language
English
Salary Range
$130k – $170k / year
AI Expertise
NLP & Prompt Engineering
AI & Machine Learning Engineers