
501 - 1000 employees
π₯ Healthcare
ποΈ Government
π€ Artificial Intelligence
Healthcare β’ Government β’ Artificial Intelligence
Commence is a healthcare data and technology company that delivers data-centered solutions to make health data more accessible, discoverable, and interoperable. The company pairs clinical expertise with AI-driven data transformation and a technology platform to address fraud, waste & abuse, independent dispute resolution, peer and independent reviews, quality improvement, and patient advocacy. Commence serves federal health agencies (CMS, VA, Defense Health Agency), state & local government programs, and commercial health customers, focusing on improving outcomes, accuracy, and program integrity.
π₯ 10 minutes ago
π΅ Arizona, District of Columbia, +23 more states β Remote
π΅ $130k - $155k / year
β° Full Time
π Senior
π·π»ββοΈ Engineer
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501 - 1000 employees
π₯ Healthcare
ποΈ Government
π€ Artificial Intelligence
Healthcare β’ Government β’ Artificial Intelligence
Commence is a healthcare data and technology company that delivers data-centered solutions to make health data more accessible, discoverable, and interoperable. The company pairs clinical expertise with AI-driven data transformation and a technology platform to address fraud, waste & abuse, independent dispute resolution, peer and independent reviews, quality improvement, and patient advocacy. Commence serves federal health agencies (CMS, VA, Defense Health Agency), state & local government programs, and commercial health customers, focusing on improving outcomes, accuracy, and program integrity.
β’ Help establish dedicated interoperability ownership within the Data & Analytics organization. β’ Serve as the technical authority on healthcare data exchange standards, designing integrations across EHR systems, federal health agencies, commercial payers, and health information exchanges. β’ Own the data modeling work required to map source health data structures into FHIR US Core and OMOP CDM for research and analytics use cases. β’ Design and implement FHIR R4-compliant APIs and integration pipelines across EHR systems, federal payers, and commercial health clients, ensuring conformance to requirements. β’ Own HL7 v2.x message processing and EDI X12 transaction pipelines from architecture through production support. β’ Build and maintain federal and commercial health data pipelines aligned to the CMS Interoperability Final Rule and Da Vinci Implementation Guidelines.
β’ 7+ years of hands-on experience in healthcare data exchange and interoperability engineering. β’ Deep expertise in HL7 FHIR R4 and US Core IG; proficiency with SMART on FHIR authorization patterns. β’ Demonstrated experience mapping source health data (claims, clinical, ADT) to FHIR US Core resource profiles. β’ Hands-on experience with HL7 v2.x and EDI X12 transaction processing (837, 835, 270/271). β’ Support customer data integrations with HL7v3 C-CDA/CDA/CCD and Document Query/Retrieval of IHE profiles. β’ Experience with EHR system integrations (Epic, Cerner, or equivalent). β’ Working knowledge of OMOP CDM structure, standard vocabulary mapping, and ETL design for clinical data. β’ Strong SQL and data modeling skills; experience on cloud-based data platforms (AWS/ Databricks preferred). β’ Familiarity with the CMS Interoperability Final Rule, 21st Century Cures Act, and TEFCA exchange framework; familiarity with VA, DHA, or commercial payer data exchange environments a plus.
β’ Health insurance β’ Retirement plans β’ Flexible work arrangements
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