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# Healthcare Domain SME

- **Company:** ClinDCast LLC
- **Location:** Albany, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Cerner, Health Informatics, Clinical Data Repository, Data Governance, Extract Transform Load (ETL), Data Warehousing, EClinicalWorks, EHR Systems, Fast Healthcare Interoperability Resources, Health Level Seven International, Meditech, Allscripts
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Healthcare-Domain-SME-ClinDCast-LLC-49079351682942/

## About the Role

Required Skills & Experience: * Hands-on experience with data models from at least one or two of the following EHRs: o Cerner, Epic, Meditech, McKesson, eClinicalWorks, Allscripts, Athena * Deep understanding of ETL processes and data governance in healthcare environments. * Proven experience in healthcare data warehousing or interoperability projects. * Ability to interpret complex clinical data structures and translate them into actionable data models.
Preferred Qualifications: * Experience working with clinical informatics teams or healthcare IT platforms. * Familiarity with clinical workflows and healthcare data standards (HL7, FHIR, CCD, etc.).

## Description

Job Details: o Experience: 10+ years in healthcare data modeling, ETL, reporting related to EHR systems, EHR data related certifications or experience from one or two of the following EHR's is mandatory- Cerner, Epic, Meditech, McKesson, eClinicalWorks, Allscripts, Athena
Role Summary: We are looking for a Clinical Domain Subject Matter Expert (SME) to support a strategic data warehouse initiative. The SME will be responsible for guiding the ingestion and modeling of data from leading EHR systems, focusing on clinical and patient intake workflows.
Key Responsibilities: * Serve as the domain expert for data related to: o Clinical workflows: Clinical orders, surgeries, allergies, assessments, and scoring etc. o Patient intake workflows: Scheduling, appointments, and related administrative processes. * Analyze and interpret EHR-specific data models to support ingestion into the enterprise data warehouse. * Collaborate with data architects, engineers, and business stakeholders to ensure semantic consistency and workflow alignment. * Document and validate mappings across various EHR systems and clinical domains.


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