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Clinical NLP Engineer — Medical Summarisation

Lara Santos

Full-time · Senior

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About the role

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

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Categories

NLP & Prompt Engineering AI & Machine Learning Engineers

Skills

python hugging face pytorch rag langchain

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $170k / year

AI Expertise

NLP & Prompt Engineering AI & Machine Learning Engineers

Skills

python hugging face pytorch rag langchain

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