Remote FHIR Data Architect for Precision Health

Jobgether SRL; United States; Remote; USD 120,000 - 179,000; Full time

Benefits offered by this job

Remote work within United States

Equity opportunities

Comprehensive benefits

Job summary

Jobgether SRL, representing a partner, seeks a Clinical Data Architect in the United States to shape clinical data architecture for precision health. You will design FHIR-compliant models, harmonize data from EHRs, claims, and exchanges, and build scalable ETL pipelines.

You'll work across informatics, data engineering, and healthcare technology teams to ensure data integrity and interoperability, enabling AI-enabled health solutions and research initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of healthcare data architecture or clinical informatics experience.
• Strong experience with OMOP, FHIR, HL7, CDA/CCD-A, or NCPDP.
• Proficient in Python and SQL with data integration/transformations.
• Knowledge of data harmonization and clinical terminologies.

Responsibilities

• Architect FHIR-compliant clinical data models aligned with guides and standards.
• Design data harmonization strategies unifying data from EHRs, claims, and sources.
• Develop and maintain dbt pipelines for FHIR-to-OMOP transformations.
• Standardize data using SNOMED CT, LOINC, ICD-10, RxNorm.
• Create validation frameworks ensuring data quality and longitudinal integrity.
• Document complex requirements for technical and non-technical stakeholders.
• Collaborate across teams to improve interoperability and reliability.

Skills

Python

SQL

FHIR

Data modeling

Data harmonization

Clinical informatics

Education

Bachelor’s degree in Computer Science or Information Systems

Master’s degree preferred

Tools

dbt

Jupyter Notebooks

OMOP

FHIR R4/R5

Job description

Jobgether SRL, representing a partner, seeks a Clinical Data Architect in the United States to shape clinical data architecture for precision health. You will design FHIR-compliant models, harmonize data from EHRs, claims, and exchanges, and build scalable ETL pipelines.

You'll work across informatics, data engineering, and healthcare technology teams to ensure data integrity and interoperability, enabling AI-enabled health solutions and research initiatives.