Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity
Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context
Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains
Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes
Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements
Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems
Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards
Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness
Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques

Requirements

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
Hands-on experience with major EHR platforms (Epic, Cerner, AllScripts, or others) and understanding of their underlying data models
Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
Proven track record developing and implementing data validation frameworks and quality assurance processes
Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences
Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field

Benefits

Competitive salaries with equity packages
Robust medical/dental/vision insurance
Flexible working hours
Hybrid work options
Inclusive environment that fosters creativity and innovation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata mappingdata validation frameworksdata quality metricsEHR data structuresFHIRHL7ICD-10CPTSNOMED

Soft Skills

communicationproblem-solvingcollaborationtechnical translationproject managementtraining developmentdocumentationleadershipanalytical thinkingattention to detail

Certifications

Bachelor's degree in Health InformaticsBachelor's degree in Healthcare AdministrationBachelor's degree in Data Science