FHIR-Driven Clinical Data Architect

Verily Health; San Bruno (CA); On-site; USD 119,000 - 179,000; Full time

Job summary

Verily Health is seeking a highly motivated Clinical Pharmacy Informaticist with expertise in HL7 FHIR to join our data platform team in the United States. You will architect FHIR-aligned data models, harmonize data from EHRs, HIEs and claims, and define native ontologies (SNOMED CT, LOINC, ICD-10, RxNorm) to support clinical use cases.

You will build validation rules, document data design requirements for engineers, and collaborate with cross-functional teams to ensure data accuracy,

Qualifications

• Bachelor’s degree in a technical field and professional informatics experience.
• Master’s degree or equivalent in Clinical Informatics preferred.
• 5+ years in clinical informatics or data integration in Healthcare or Life Sciences.
• Proficiency with HL7 v2, FHIR CDA/CCD-A, NCPDP and data models (FHIR R4/R5, OMOP).
• Strong Python and SQL skills.

Responsibilities

• Architect FHIR-compliant data models aligned with IGs and profiles.
• Design data harmonization/enrichment across EHRs, HIEs, and claims data.
• Subject matter expert for SNOMED CT, LOINC, ICD-10, RxNorm ontologies.
• Establish validation frameworks to ensure data accuracy and longitudinal integrity.
• Document data design requirements for engineering and stakeholders.

Skills

Python

SQL

dbt

Jupyter Notebooks

Education

Bachelor’s Degree in Computer Science, Information Systems, or a closely related technical degree

Master’s Degree in Clinical Informatics or equivalent

Job description

Verily Health is seeking a highly motivated Clinical Pharmacy Informaticist with expertise in HL7 FHIR to join our data platform team in the United States. You will architect FHIR-aligned data models, harmonize data from EHRs, HIEs and claims, and define native ontologies (SNOMED CT, LOINC, ICD-10, RxNorm) to support clinical use cases.

You will build validation rules, document data design requirements for engineers, and collaborate with cross-functional teams to ensure data accuracy,