We are seeking an experienced Healthcare Interoperability & Clinical Data Specialist with strong hands-on development experience in CCD/C-CDA, HL7, FHIR, and clinical data integration. This role focuses on developing and supporting scalable solutions for parsing, transforming, validating, and integrating clinical data from EHRs, health information exchanges, and other healthcare sources.
The ideal candidate will have deep knowledge of CCD/C-CDA document structures and clinical terminology standards, combined with strong Python and SQL development skills. This is a hands-on technical position requiring direct experience developing clinical data parsing and transformation solutions, rather than primarily managing vendor tools or integration activities.
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Design, develop, and maintain clinical data ingestion, parsing, transformation, and validation solutions using Python and SQL.
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Analyze CCD/C-CDA documents, including clinical sections, templates, entries, identifiers, and coded observations, particularly Laboratory Results, Vital Signs, Problems, Medications, and Procedures.
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Develop custom Python-based parsers and utilities to extract, normalize, and validate clinical data from XML, JSON, HL7, FHIR, and other healthcare formats.
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Work with FHIR resources, Bundles, profiles, and REST APIs to support clinical data exchange and integration.
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Perform data profiling, mapping, reconciliation, and quality assessments across multiple clinical data sources.
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Troubleshoot complex interoperability and data integration issues, perform root cause analysis, and implement technical solutions.
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Collaborate with EHR vendors, health information exchanges, data aggregators, and internal technology teams to onboard new clinical data sources.
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Support clinical data consumption for healthcare quality measurement, HEDIS reporting, care gap identification, and clinical analytics.
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Develop and maintain technical documentation, data mappings, validation rules, and integration specifications.