Senior Public Health Data Integration Developer (SAS, Python, R & Healthcare Interoperability):
Total Required Experience in Years: %2B10 Years
Mode of Work: Hybrid 4 Days Remote / 1 Day Onsite | Austin, TX | Candidates Must Currently Reside Within 50 Miles of Austin
The Senior Public Health Data Integration Developer (Developer/Programmer Analyst III) will support electronic case reporting (eCR), healthcare data interoperability, public health surveillance, and registry modernization initiatives.
The role focuses on developing and maintaining SAS, Python, and R programs, building automated data-integration workflows, creating dashboards, and improving the ingestion and processing of electronic initial case reports (eICRs).
The ideal candidate will have extensive experience with statistical programming, healthcare data integration, automation, database querying, dashboard development, and technical documentation.
The developer will collaborate with epidemiology, public health program, and technical teams to reduce manual data processing, improve data quality, and accelerate clinical case review.
Start Date: December 1, 2026
Perform interoperability needs assessments for electronic initial case report (eICR) integration.
Analyze requirements for ingesting eICR data into TBIRDS.
Develop automated processes to populate selected TBIRDS fields.
Gather and document business, programmatic, and technical requirements.
Develop, test, troubleshoot, and maintain SAS, Python, R, or similar programming scripts.
Design and implement automated data-integration solutions.
Develop dashboards to support public health surveillance and clinical case triaging.
Automate data ingestion, processing, validation, and reporting workflows.
Support record abstraction and clinical case-review activities.
Integrate electronic health data into existing surveillance systems and registries.
Test automated workflows for accuracy, completeness, and reliability.
Perform data standardization, linkage, matching, and validation.
Identify and resolve programming and data-integration issues.
Improve interoperability between electronic health data sources and public health systems.
Collaborate with BDESB staff, epidemiologists, program teams, and technical partners.
Identify limitations in existing data systems and workflows.
Translate business and program requirements into technical solutions.
Develop system requirements documentation.
Create technical specifications, process diagrams, and workflow documentation.
Document programming scripts, validation procedures, and integration processes.
Recommend improvements to existing interoperability workflows.
Support public health registry and surveillance modernization.
Evaluate data quality and reliability across automated integration processes.
Assist with the development of future interoperability initiatives.
Provide technical guidance to both technical and nontechnical stakeholders.
Support continuous improvement of data-processing and automation solutions.
Minimum 8%2B years of experience developing, testing, maintaining, and troubleshooting scripts using SAS, Python, R, or similar programming languages.
Minimum 8%2B years of experience with system integration, dashboard development, and workflow automation.
Minimum 8%2B years of experience working with structured or semi-structured health, public health, or complex administrative data.
Minimum 8%2B years of experience with databases and database querying.
Minimum 8%2B years of experience developing system requirements documentation and translating business needs into technical solutions.
Minimum 8%2B years of experience testing and validating automated data-integration solutions.
Minimum 8%2B years of experience documenting code, technical specifications, workflows, and procedures.
Minimum 8%2B years of analytical, problem-solving, technical communication, and collaborative work experience.
Strong understanding of data integration and interoperability processes.
Experience developing and maintaining automated workflows.
Experience validating data accuracy, completeness, and reliability.
Strong technical documentation and troubleshooting skills.
Ability to communicate technical concepts to technical and nontechnical audiences.
Minimum 2%2B years of experience with healthcare interoperability technologies, including:
Electronic Case Reporting (eCR/eICR)
Electronic Health Records (EHR)
Health Information Exchange (HIE)
HL7
FHIR
XML
SNOMED CT or similar clinical terminology standards
Minimum 2%2B years of experience with:
SQL
Relational Databases
Public Health Surveillance Systems
Public Health Registries
Data Linkage and Matching
Automated Data Pipelines
ETL Processes
Experience integrating electronic health data into surveillance workflows.
Experience supporting public health registry modernization.
Knowledge of healthcare data standards and clinical terminology.
Experience developing dashboards for public health or epidemiology applications.
Strong background in public health data integration and statistical programming.
Advanced experience with SAS, Python, R, or comparable programming technologies.
Ability to design, develop, and troubleshoot automated data-processing solutions.
Strong understanding of structured and semi-structured data.
Experience analyzing business requirements and translating them into technical specifications.
Ability to develop dashboards and automated integration workflows.
Strong data validation, standardization, and quality-assurance skills.
Experience working collaboratively with technical teams, program staff, and epidemiologists.
Excellent analytical and problem-solving abilities.
Strong written and verbal communication skills.
Ability to explain technical concepts to nontechnical stakeholders.
Ability to work independently and manage multiple priorities.
Must currently reside within a 50-mile radius of Austin, TX.
Must be available to work onsite 1 day per week, with the hybrid schedule subject to change.
| Location | Austin, TX |
| Job Type | Contractor |
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