FHIR Data Architect — Clinical Informatics

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

Job summary

Verily Health in the United States is seeking a Clinical Pharmacy Informaticist with HL7 FHIR expertise to ensure accurate, usable clinical data across our organization for patient care and research. You will architect FHIR data models, harmonize data from EHRs, HIEs, and claims, and define value sets for clinical use cases, while collaborating with engineers and stakeholders.

This role requires 5+ years in clinical informatics, strong Python/SQL, and communication skills.

Qualifications

• Bachelor’s degree in CS, IS, or related technical field.
• Master’s in Clinical Informatics or equivalent clinical informatics experience.
• 5+ years in clinical informatics or data integration in healthcare or life sciences.
• Experience with interoperability standards (HL7 v2, FHIR, CDA/CCD-A) and data models (FHIR R4/R5, OMOP).
• Advanced 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.
• Serve as SME for SNOMED CT, LOINC, ICD-10, RxNorm; manage value sets.
• Establish validation frameworks and automated rules for data quality.
• Create documentation communicating data design to engineers and stakeholders.

Education

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

Master’s Degree in Clinical Informatics or equivalent professional experience

Minimum of 5 years experience in clinical informatics or data integration in Healthcare or Life Sciences

Advanced proficiency in Python and SQL

Tools

FHIR

HL7 v2

CDA/CCD-A

FHIR R4/R5

OMOP

Python

SQL

dbt

Jupyter Notebooks

Job description

Verily Health in the United States is seeking a Clinical Pharmacy Informaticist with HL7 FHIR expertise to ensure accurate, usable clinical data across our organization for patient care and research. You will architect FHIR data models, harmonize data from EHRs, HIEs, and claims, and define value sets for clinical use cases, while collaborating with engineers and stakeholders.

This role requires 5+ years in clinical informatics, strong Python/SQL, and communication skills.