FHIR & OMOP Data Architect

Verily; Austin (TX); On-site; USD 120,000 - 179,000; Full time

Job summary

Verily Health is seeking a Clinical Informaticist to architect FHIR-compliant data models and harmonize data from EHRs, HIEs, and claims sources. You will design, develop, and maintain FHIR-to-OMOP pipelines using dbt and SQL, standardize data with SNOMED CT, LOINC, ICD-10, and RxNorm, and validate data integrity across systems.

Ideal candidates will have 5+ years in healthcare data architecture or clinical informatics, a strong background in Python and SQL, and experience with interoperability

Qualifications

• Bachelor’s degree in CS/IS or related field.
• 5+ years in healthcare data architecture or clinical informatics.
• Experience with interoperability standards: OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, NCPDP.
• Advanced proficiency in Python and SQL with healthcare data integration.

Responsibilities

• Architect FHIR-compliant data models aligned with IGs, profiles, and standards.
• Harmonize and enrich data from EHRs, HIEs, and claims sources.
• Build and maintain FHIR-to-OMOP transformation pipelines using dbt and SQL.
• Standardize data with SNOMED CT, LOINC, ICD-10, RxNorm; manage custom value sets.
• Establish validation frameworks for clinical accuracy and longitudinal integrity.
• Document data design requirements for cross-functional teams.

Skills

Python

SQL

FHIR

OMOP

Education

Bachelor’s degree in Computer Science, Information Systems, or related technical field

Master’s degree or professional certificate in Clinical Informatics, PharmD, or similar hands-on informatics experience

Tools

dbt

Jupyter Notebooks

Job description

Verily Health is seeking a Clinical Informaticist to architect FHIR-compliant data models and harmonize data from EHRs, HIEs, and claims sources. You will design, develop, and maintain FHIR-to-OMOP pipelines using dbt and SQL, standardize data with SNOMED CT, LOINC, ICD-10, and RxNorm, and validate data integrity across systems.

Ideal candidates will have 5+ years in healthcare data architecture or clinical informatics, a strong background in Python and SQL, and experience with interoperability