Healthcare Interoperability & Clinical Data Specialist
New
J
JobgetherHealthcare data
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience working with healthcare data, healthcare interoperability, clinical data integration, health informatics, or a closely related field.
- Required Skills
- PythonSQLRESTful APIsJSON
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Health Informatics, Data Analytics, Health Information Management, or a related field, or equivalent practical experience.
- 5+ years of experience working with healthcare data, healthcare interoperability, clinical data integration, health informatics, or a closely related field.
- Hands-on experience analyzing CCD/C-CDA clinical documents, including XML structures, sections, entries, templates, identifiers, and clinical coding.
- Hands-on FHIR experience, including common clinical resources, Bundles, references, profiles, REST APIs, and JSON/XML representations.
- Strong SQL skills and practical Python experience for parsing, transformation, automation, validation, and analysis of large healthcare datasets.
- Working knowledge of HL7, C-CDA/CCD, FHIR, APIs, and common healthcare code systems and terminologies.
- Experience profiling unfamiliar healthcare data sources and translating source-specific structures into standardized or normalized data models.
- Experience troubleshooting data quality, mapping, ingestion, and integration issues across multiple vendors or source systems.
- Strong analytical and problem-solving abilities, with communication and technical documentation skills.
- Ability to explain complex clinical data and integration issues clearly to technical and business stakeholders.
- Preferred experience with HEDIS, NCQA quality reporting, supplemental data, digital quality measurement, or Medical Record Review.
- Preferred knowledge of LOINC, SNOMED CT, ICD-10-CM, CPT/HCPCS, and RxNorm.
Responsibilities
- Analyze clinical data from new and existing sources, including CCD/C-CDA documents, FHIR resources, HL7 messages, and API-based exchanges.
- Evaluate data structure, semantics, completeness, consistency, and clinical usability across EHRs, health information exchanges, aggregators, and other partners.
- Develop and maintain processes to parse, extract, normalize, transform, and validate healthcare data formats.
- Map source data elements and clinical concepts to normalized internal models, FHIR resources, and standard terminologies where applicable.
- Lead or support clinical data source onboarding, including source discovery, sample analysis, mapping, profiling, validation, and production-readiness assessment.
- Create automated data quality checks and reconciliation processes to identify data issues and source-specific anomalies.
- Investigate integration issues, perform root-cause analysis, and coordinate resolution with vendors, exchanges, aggregators, IT teams, and business stakeholders.
- Develop reusable Python and SQL utilities for profiling, parsing, comparison, validation, exception handling, and large-scale analysis.
- Assess clinical data for quality measurement, supplemental data, analytics, population health, and HEDIS reporting use cases.
- Maintain source inventories, interface specifications, data dictionaries, mapping documents, validation rules, data lineage, and onboarding procedures.
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