Senior Healthcare Data Analyst - Clinical Data Mapping & Quality

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: Qualified Health is seeking a Senior Healthcare Data Analyst to serve as the critical bridge between clinical concepts and technical data implementation. In this role, you'll combine deep healthcare domain expertise with analytical rigor to design and implement data mappings that ensure our AI platform accurately represents clinical reality. You'll work directly with health system partners to understand their data structures, develop comprehensive quality frameworks, and translate complex clinical workflows into standardized data models that power our platform's intelligence. Key Responsibilities: Clinical Concept Mapping: Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity Query Development: Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context Data Quality Leadership: Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains Client Partnership: Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes Schema Reconciliation: Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements Documentation Standards: Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems Cross-functional Collaboration: Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards Continuous Improvement: Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness Training Knowledge Transfer: Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques Required Qualifications: 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems EHR Systems Expertise: Hands-on experience with major EHR platforms (Epic, Cerner, AllScripts, or others) and understanding of their underlying data models Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative sol ... (truncated, view full listing at source)