About the Role
We are seeking an experienced Data Modeler with deep understanding of FHaIR (Fast Healthcare Interoperability Resources) to join our growing team. As a Data Modeler, you will design and implement scalable, interoperable data structures for healthcare applications, ensuring they align with FHIR standards and best practices.
Key Responsibilities
- Design, develop, and maintain logical and physical data models focused on FHIR resources, profiles, and extensions.
- Map legacy healthcare data structures to FHIR-compliant models.
- Collaborate with business analysts, developers, and stakeholders to gather requirements and translate into robust data models.
- Ensure data integrity, consistency, privacy, and security in modeling activities.
- Define and maintain data dictionaries, metadata, and documentation for FHIR-based models.
- Provide support for FHIR implementation projects and integration of FHIR with other standards (HL7v2, CDA, etc).
- Conduct data quality assessments and recommend improvements.
- Stay up to date with emerging FHIR standards and contribute to internal standards and best practices.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Health Informatics, or related discipline.
- 3+ years professional experience in data modeling, data architecture, or a related field, preferably in healthcare.
- Strong knowledge of FHIR standards, structures, resource definitions, and implementation guides.
- Experience with modeling tools (e.g., ERwin, Sparx Enterprise Architect, Visio, or equivalent).
- Familiarity with healthcare interoperability standards (HL7, CDA, CCD, etc.).
- Proficient with relational and NoSQL databases.
- Strong analytical, organizational, and communication skills.
