Clinical Prompt Engineer

Responsibilities

• Design, test, and optimize prompts for LLM-based clinical use cases including cohort identification, clinical question answering, and concept extraction
• Translate clinical requirements into structured prompts aligned with clinical data schemas
• Collaborate with data engineers to align prompts with models for diagnoses, labs, medications, and encounters
• Evaluate AI outputs for clinical accuracy, relevance, bias, and safety
• Apply healthcare data standards such as FHIR, SNOMED CT, LOINC, RxNorm, and ICD-10-CM within prompt logic
• Create prompt evaluation criteria and quality benchmarks
• Document reusable prompt patterns and best practices

Requirements

• 2–5 years of experience in clinical informatics, healthcare analytics, or health IT
• Clinical background in nursing, pharmacy, medicine, public health, or clinical informatics
• Hands-on experience with LLMs and prompt engineering for applied or production use cases
• Strong understanding of clinical data modeling (diagnoses, procedures, medications, labs, etc.)
• Practical experience with healthcare data standards (FHIR, SNOMED CT, LOINC, RxNorm, ICD-10-CM)
• Ability to critically evaluate AI outputs for correctness and clinical safety

Preferred Qualifications

• Experience with clinical NLP or unstructured clinical text
• Familiarity with EHR systems or clinical data repositories
• Working knowledge of Python for prompt testing or evaluation
• Working knowledge of SQL for exploring clinical datasets
• Experience combining structured and unstructured healthcare data

About the Company

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care.