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. Today, Truveta enables research on more than 130 million de-identified patients across the US.

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Role Overview

We are hiring a Prompt Engineer with a strong clinical informatics background to build and optimize AI prompts for healthcare and clinical data applications. This role requires hands-on clinical understanding, experience working with real clinical data, experience writing prompts for AI models, and the ability to align LLM prompts with underlying clinical data models.

You will work closely with clinicians, data engineers, and AI teams to translate clinical questions and workflows into accurate, safe, and scalable AI interactions.

Key Responsibilities

Design, test, and optimize prompts for LLM-based clinical use cases such as:
- Cohort identification
- Clinical question answering
- Concept extraction
- Clinical code mapping
Translate clinical requirements into structured prompts aligned with clinical data schemas
Collaborate with data engineers to understand how diagnoses, labs, medications, encounters, and outcomes are modeled
Evaluate AI outputs for clinical accuracy, relevance, bias, and safety
Apply healthcare data standards (FHIR, SNOMED CT, LOINC, RxNorm, ICD-10-CM) within prompt logic and validation
Create prompt evaluation criteria and quality benchmarks
Document reusable prompt patterns and best practices
Continuously improve prompts based on model behavior and user feedback.

Required Qualifications

2–5 years of experience in clinical informatics, healthcare analytics, or health IT
Clinical background required, such as:
- Nursing, pharmacy, medicine, public health, or clinical informatics
- OR hands-on experience working with clinical workflows or EHR data
Strong understanding of clinical data modeling, including representation of:
- Diagnoses, procedures, medications
- Laboratory results and vitals
- Encounters and outcomes
Practical experience with healthcare data standards:
- FHIR
- SNOMED CT
- LOINC
- RxNorm
- ICD-10-CM
Hands-on experience with LLMs and prompt engineering for applied or production use cases
Ability to critically evaluate AI outputs for correctness and clinical safety
Strong analytical, documentation, and communication skills

Preferred

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
Prior work on healthcare AI, decision support, or analytics platforms

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Clinical Prompt Engineer