Senior Data Integration Analyst - Public Health Interoperability (SAS/Python/R)

SAS, Python, R, SQL, Data Integration, System Integration, Dashboard Development, Workflow Automation, eICR/eCR, EHR, HIE, HL7, XML, FHIR, SNOMED CT, ETL, Data Validation, Data Linkage, Requirements Gathering, Technical Documentation, Public Health Data, Registry Modernization, Troubleshooting, and Stakeholder Collaboration.

• Interoperability Needs Assessment: Assess the current Texas Birth Defects Registry workflows and identify requirements, gaps, and technical steps needed to integrate eICRs and automate the population of selected data fields.
• System Requirements Documentation: Develop detailed system requirements documents and reports outlining business needs, technical requirements, system functions, data flows, and workflows necessary for registry interoperability.
• Programming and Automation: Develop, test, maintain, and troubleshoot programs using SAS, Python, R, or similar statistical programming languages to automate data processing and integrate relevant eICR data into registry workflows.
• Dashboard Development: Design, develop, test, and maintain dashboards to support branch operations, case triage, clinical review, data monitoring, and workflow efficiency.
• Data Integration and Workflow Optimization: Develop automated workflows to improve data ingestion, processing, standardization, linkage, and matching of health and administrative data.
• Testing and Validation: Test and validate automated workflows, data-integration solutions, and programming scripts to ensure accuracy, completeness, consistency, and reliability. Identify issues, troubleshoot errors, and implement improvements.
• Registry Modernization: Support initiatives to incorporate electronic health data into existing birth defects registry processes and assist with planning and implementation of eICR integration and other interoperability projects.
• Technical Documentation: Maintain clear documentation of source code, scripts, system configurations, data mappings, workflows, validation procedures, technical specifications, and developed solutions to support ongoing maintenance and sustainability.
• Database and Data Management: Work with structured and semi-structured datasets, databases, and database queries to support data extraction, transformation, integration, and reporting.
• Stakeholder Collaboration: Collaborate with BDESB staff, technical teams, and external partners to define requirements, assess system limitations, communicate technical findings, and recommend solutions for future interoperability initiatives.
• Continuous Improvement: Analyze existing processes and recommend improvements to data quality, automation, system performance, and operational efficiency.

• Minimum of 8 years of experience developing, testing, maintaining, and troubleshooting programs using SAS, Python, R, or similar programming languages.
• Minimum of 8 years of experience with system integration, dashboard development, and workflow automation.
• Minimum of 8 years of experience working with structured or semi-structured healthcare, public health, or complex administrative data.
• Strong knowledge of databases, database querying, data processing, and data management.
• Minimum of 8 years of experience documenting system requirements and translating business and program needs into technical solutions.
• Minimum of 8 years of experience testing and validating automated data-integration solutions.
• Minimum of 8 years of experience documenting code, technical specifications, workflows, and procedures.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to technical and nontechnical stakeholders.
• Ability to collaborate effectively with cross-functional teams and work independently when required., * At least 2 years of experience with electronic case reporting (eCR/eICR), Electronic Health Records (EHR), or Health Information Exchange (HIE).
• Familiarity with healthcare interoperability standards and formats, including HL7, XML, FHIR, SNOMED CT, or other clinical terminology standards.
• At least 2 years of experience with SQL, relational databases, public health surveillance systems, or registries.
• Experience with data linkage, record matching, automated data pipelines, and ETL processes.
• Experience supporting healthcare data modernization and interoperability initiatives.