Verily
Verily
Verily is an AI-native precision health company working across healthcare, clinical research, and artificial intelligence. Its software and models support more predictive and personalized care through tools such as Verily Me, clinician workflows, and care solutions that help engage members and guide health goals. Verily also develops research products that organize and standardize multimodal clinical and real-world data in FHIR-native formats, helping teams advance clinical trials and generate insights. The company builds with a focus on clinical and regulatory safety, including for AI-enabled care and research workflows.

Clinical Data Architect, FHIR and OMOP – Verily, Remote United States

Verily is hiring a Clinical Data Architect to build FHIR-to-OMOP healthcare data systems for its precision-health platform. The role harmonizes EHR, HIE, and claims data to support clinical research and patient care.

Description

  • Create FHIR-compliant data models that follow implementation guides, profiles, and internal architecture standards.
  • Develop and operationalize harmonization and enrichment approaches for EHR, HIE, and claims data.
  • Build and maintain scalable FHIR-to-OMOP transformation pipelines with dbt and SQL.
  • Apply SNOMED CT, LOINC, ICD-10, and RxNorm to standardize healthcare data.
  • Create and administer custom clinical value sets.
  • Define validation frameworks and algorithms that promote clinical accuracy, consistency, and longitudinal integrity.
  • Prepare documentation that communicates data design requirements to cross-functional teams and stakeholders.
  • Enable patient-care and research initiatives with reliable, usable clinical data.

Requirements

  • Bachelor’s degree in computer science, information systems, or a related technical discipline.
  • At least five years of professional experience in healthcare data architecture or clinical informatics within healthcare or life sciences.
  • Experience with healthcare data models and interoperability standards such as OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
  • Advanced Python and SQL skills, including hands-on healthcare data integration experience.
  • Master’s degree or professional certification in clinical informatics, PharmD, or equivalent practical clinical informatics experience.
  • Practical experience using dbt and Jupyter Notebooks.
  • Background designing or implementing healthcare data architecture and integration solutions.
  • Strong communication and relationship-building skills.
  • Ability to work effectively both independently and collaboratively.
  • Must be able to work in the United States without requiring employer-sponsored work authorization now or in the future.

Benefits

  • Bonus eligibility.
  • Equity participation.
  • Employee benefits.

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