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

Dutech Systems Inc.; Austin (TX); In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Dutech Systems is seeking a senior data integration specialist to drive interoperability between health registries and eICR workflows. You will develop data pipelines, dashboards, and automation scripts using SAS, Python, and R, while coordinating with cross-functional teams to meet regulatory data standards.

The role emphasizes handling structured and semi-structured health data, validating data quality, and documenting technical specifications for ongoing maintenance and modernization efforts.

Competenze

• 8+ years developing, testing, maintaining, and troubleshooting programs in SAS, Python, or R.
• 8+ years system integration, dashboard development, and workflow automation.
• 8+ years working with structured or semi-structured healthcare, public health, or complex administrative data.
• Strong knowledge of databases, querying, data processing, and data management.
• 8+ years documenting system requirements and translating business needs into technical solutions.
• 8+ years testing and validating automated data-integration solutions.
• 8+ years documenting code, technical specifications, workflows, and procedures.
• Strong analytical, troubleshooting, and problem-solving skills.

Mansioni

• Assess Texas Birth Defects Registry workflows to map eICR integration steps.
• Develop system requirements documents and reports for interoperability.
• Develop, test, and maintain programs using SAS, Python, R for data automation.
• Design, test, and maintain dashboards for operations and case triage.
• Create automated data ingestion, processing, standardization, linkage, and matching workflows.
• Test and validate automated workflows and data-integration scripts for accuracy.
• Support registry modernization and planning for eICR integration.
• Maintain technical documentation of code, configurations, mappings, and procedures.
• Work with databases and data management for extraction and reporting.
• Collaborate with staff and partners to define requirements and solutions.
• Continuously improve data quality, automation, and efficiency.

Conoscenze

SAS

Python

R

Strumenti

SQL

HL7

FHIR

ETL pipelines

Descrizione del lavoro

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.