Remote Clinical Data Architect - FHIR & Healthcare Data

Verily Life Sciences LLC; Northern (KY); A distancia; USD 120.000 - 179.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Equity

Benefits

Descripción de la vacante

Verily Health in the United States seeks a Clinical Data Architect to design FHIR-based data models and harmonize data across EHRs, HIEs, and claims. You will implement, validate, and document data structures to support precision health initiatives.

The role focuses on building FHIR-to-OMOP transformations with dbt and SQL, standardizing terminologies like SNOMED CT, LOINC, ICD-10, RxNorm, and managing custom value sets while ensuring longitudinal data quality and usability for researchers and

Formación

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• 5+ years of professional experience in healthcare data architecture or clinical informatics.
• Experience with interoperability standards and data models: OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
• Proficiency in Python and SQL for data integration.
• Strong interpersonal and communication skills.

Responsabilidades

• Architect FHIR-compliant data models aligned with IGs, profiles, and internal architectural standards.
• Design and operationalize data harmonization and enrichment from EHRs, HIEs, and claims sources.
• Develop FHIR-to-OMOP transformation pipelines using dbt and SQL.
• Standardize healthcare data using SNOMED CT, LOINC, ICD-10, RxNorm, and custom value sets.
• Establish validation frameworks to ensure clinical accuracy and longitudinal integrity of data assets.
• Document data design requirements for cross-functional teams.

Descripción del empleo

Verily Health in the United States seeks a Clinical Data Architect to design FHIR-based data models and harmonize data across EHRs, HIEs, and claims. You will implement, validate, and document data structures to support precision health initiatives.

The role focuses on building FHIR-to-OMOP transformations with dbt and SQL, standardizing terminologies like SNOMED CT, LOINC, ICD-10, RxNorm, and managing custom value sets while ensuring longitudinal data quality and usability for researchers and