Clinical Prompt Engineer

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