Clinical Data Architect

Verily

. Architect FHIR-compliant data models aligned with implementation guides, profiles, and internal architectural standards .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $119,500 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing FHIR-compliant data models and transformation pipelines, with a strong focus on healthcare data architecture and interoperability standards. Proficient in utilizing Python, SQL, and dbt for data integration and harmonization in clinical informatics.

Highest-signal resume keywords

FHIR Data Model ArchitectureHealthcare Data IntegrationPython ProgrammingSQL ProficiencyDbt Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

FHIR R4/R5OMOPHL7 v2CDA/CCD-ANCPDPData HarmonizationData EnrichmentData Validation FrameworksClinical Value SetsHealthcare Data Models

Soft Skills

Interpersonal SkillsCommunication SkillsTeam CollaborationIndependent Work

Tools & Technologies

DbtJupyter Notebooks

Certifications & Qualifications

Master’s Degree in Clinical InformaticsProfessional Certificate in Clinical Informatics

Industry Keywords

HealthcareLife SciencesClinical InformaticsEHRHIEClaims Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Architect FHIR-compliant data models aligned with implementation guides, profiles, and internal architectural standards
Design and operationalize data harmonization and enrichment strategies for EHR, HIE, and claims data
Design, develop, and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL
Standardize healthcare data using SNOMED CT, LOINC, ICD-10, and RxNorm
Design and manage custom clinical value sets
Establish validation frameworks and algorithms for clinical accuracy, consistency, and longitudinal data integrity
Develop documentation communicating data design requirements to cross-functional teams and stakeholders
Support patient care and research efforts through accurate and usable clinical data

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or a related technical field
5+ years of professional experience in healthcare data architecture or clinical informatics within the Healthcare or Life Sciences sectors
Experience with healthcare data models and interoperability standards, including OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP
Advanced proficiency in Python and SQL, with hands-on experience in healthcare data integration
Master’s degree or professional certificate in Clinical Informatics, PharmD, or comparable hands-on clinical informatics experience
Hands-on experience with dbt and Jupyter Notebooks
Experience designing or implementing healthcare data architecture and integration solutions
Strong interpersonal and communication skills
Demonstrated ability to work independently and collaboratively in a team environment
Must not require employer sponsored work authorization now or in the future for employment in the United States

Benefits

Comp & perks

Bonus
Equity
Benefits