Clinical Prompt Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$81,444 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Healthcare From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Clinical Prompt Engineer Hyderabad, India 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)

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