Experience: 810 Years Location: Bangalore/Pune/Chennai/Gurgaon/Kolkata Employment Type: [Full-time] Department: [Healthcare IT / Data Engineering / Interoperability]

About the Role

We are looking for an experienced FHIR Data Modeler and Healthcare Data Profiling Specialist with 8–10 years of experience in healthcare data management, interoperability standards, and data quality analysis. The ideal candidate will have deep expertise in designing FHIR-compliant data models, profiling and assessing the quality of complex healthcare datasets, and translating clinical and administrative data requirements into scalable, standards-based data architectures.

Key Responsibilities

- Design, develop, and maintain FHIR (Fast Healthcare Interoperability Resources) data models, including custom profiles, extensions, and implementation guides aligned with HL7 FHIR R4/R5 standards.
- Perform healthcare data profiling to assess data quality, completeness, consistency, and conformance across clinical, claims, and administrative datasets.
- Collaborate with data architects, and engineering teams to map source data (EHR, claims, lab, HL7 v2, CCDA) into FHIR resources.
- Define and enforce data governance standards, including terminology mapping (e.g., SNOMED CT, LOINC, ICD-10, RxNorm, CPT).
- Conduct source-to-target mapping and gap analysis between legacy healthcare data models and FHIR-based target architectures.
- Validate FHIR resource instances against defined profiles using tools such as HAPI FHIR, Inferno, or FHIR Validator.
- Work closely with interoperability and integration teams to support HL7 v2 to FHIR, CCDA to FHIR, and claims (X12) to FHIR transformations.
- Document data models, mapping specifications, and data dictionaries for internal and external stakeholders.
- Support compliance initiatives related to CMS Interoperability Rules, and other regulatory mandates.




- Partner with QA and data engineering teams to build automated data profiling and validation pipelines.
- Provide technical guidance and mentorship to junior data modelers/analysts on FHIR standards and best practices.

Required Skills & Experience

- 8–10 years of overall experience in healthcare data management, data modeling, or data engineering roles.
- Solid hands-on experience with HL7 FHIR (STU3/R4/R5) — resource design, profiling, extensions, and implementation guides.
- Proven expertise in healthcare data profiling techniques — identifying anomalies, duplicates, missing values, and standardization issues in clinical/administrative data.
- Working knowledge of healthcare data standards: HL7 v2, CCDA, X12 (837/835), DICOM (nice to have).
- Familiarity with clinical terminologies: SNOMED CT, LOINC, ICD-9/10, CPT, RxNorm, NDC.
- Experience with FHIR tooling: HAPI FHIR, Firely .NET SDK, IBM FHIR Server, Microsoft FHIR Server, Inferno Validator.
- Strong understanding of data governance, master data management (MDM), and data quality frameworks in healthcare.
- Proficiency in SQL and at least one programming language (Python, Java, or C#) for data transformation and profiling scripts.
- Experience with cloud healthcare data platforms (e.g., Azure Health Data Services, AWS HealthLake, Google Cloud Healthcare API) is a strong plus.
- Knowledge of healthcare regulatory frameworks: HIPAA, ONC Cures Act, CMS Interoperability & Patient Access Rule, TEFCA.
- Excellent communication skills to work with cross-functional teams including clinical SMEs, architects, and compliance teams.

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Health Informatics, Information Systems, or a related field.
- HL7 FHIR certification (e.g., HL7 FHIR Proficiency Certification) is a plus.
- Prior experience working with EHR systems (Epic, Cerner, Allscripts) or payer/claims data platforms.
- Experience with data profiling/quality tools such as Informatica, Talend, Great Expectations, or similar.
- Exposure to Agile/Scrum delivery environments.

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