Clinical Informatics Architect: FHIR & Data Harmonization

Verily Health; United States; On-site; USD 119,000 - 179,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Verily Health is seeking a Clinical Pharmacy Informaticist with HL7 FHIR expertise to architect data models, harmonize health data, and ensure data quality across the organization. The role focuses on integrating EHR, HIE, and claims data to support clinical care and research.

The ideal candidate has 5+ years in clinical informatics, strong Python/SQL skills, and deep knowledge of interoperability standards, with a hands-on approach to data standards and documentation.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, or a closely related technical field.
• Professional Certificate or Master’s Degree in Clinical Informatics or equivalent experience in a clinical informatics role.
• Minimum of 5 years experience in clinical informatics or data integration in Healthcare or Life Sciences industries.
• Proficiency with HL7 v2, FHIR CDA/CCD-A, NCPDP and data models (FHIR R4/R5, OMOP).
• Advanced proficiency in Python and SQL.

Responsibilities

• Architect FHIR-compliant data models aligned with IGs, profiles, and internal standards.
• Design data harmonization and enrichment for EHRs, HIEs, and claims sources.
• Serve as SME for clinical ontologies (SNOMED CT, LOINC, ICD-10, RxNorm) and manage value sets.
• Establish validation frameworks and automated rules for data accuracy and longitudinal integrity.
• Create clear docs communicating data design requirements to engineers and stakeholders.

Skills

Python

SQL

Education

Bachelor’s degree in CS/Information Systems

Master’s or professional certificate in Clinical Informatics

Tools

dbt

Jupyter Notebooks

Job description

Verily Health is seeking a Clinical Pharmacy Informaticist with HL7 FHIR expertise to architect data models, harmonize health data, and ensure data quality across the organization. The role focuses on integrating EHR, HIE, and claims data to support clinical care and research.

The ideal candidate has 5+ years in clinical informatics, strong Python/SQL skills, and deep knowledge of interoperability standards, with a hands-on approach to data standards and documentation.