As a Lead Healthcare Integration Specialist , you will spearhead client onboarding implementations, architect end-to-end data migrations from legacy EHR systems, and modernize EHR integrations within our GCP cloud ecosystem.
Role Overview
This is a 100% remote position within the United States. In this highly technical, hands-on leadership role, you will be the driving force behind migrating complex customer clinical datasets onto our systems and engineering scalable integration products. You will skip high-level management fluff to write code, configure pipelines, and actively scale our data exchange capabilities inside Google Cloud Platform.
Key Responsibilities
- Client Implementations & EHR Migrations: Lead end-to-end client onboarding and data migration projects from legacy EHR vendors (e.g., Epic, Cerner, MEDITECH, eClinicalWorks) into target architectures.
- Extract, parse, map, and validate massive historical clinical datasets including demographics, laboratory results, medications, and clinical notes.
- Establish reliable VPN connections, MLLP endpoints, and secure REST/SOAP API channels directly with client-side IT systems.
- Platform Improvement & GCP Cloud Engineering: Develop, scale, and optimize core integration channels within our Mirth Connect interface engine using JavaScript, established integration patterns, and best practices.
- Build reusable, parameterized channel templates and code libraries to decrease client implementation times from months to days.
- Modernize legacy data structures by engineering automated transformation pipelines into FHIR API frameworks and cloud environments.
- Deploy, manage, and optimize integration workflows hosted within Google Cloud Platform (GCP) , utilizing tools like Google Cloud Storage, Cloud Functions, and Cloud Run to stream or process clinical payloads.
- Technical Client Leadership: Act as the senior technical authority during client discovery calls, translating their unique data layouts into standard architectural schemas.
- Perform deep-dive unit testing, system-level validations, and technical rehearsals to guarantee zero data loss during high-stakes go-live migration windows.
