SAS Developer - Health Data & Dashboards (Austin)

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 80,000 - 107,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a SAS Developer in Austin, TX for a 12-month engagement with potential extension. The role involves building solutions to ingest eICRs into TBIRDS, auto-populating fields, and maintaining automated data workflows.

You will develop and test programs using SAS, Python, and R, create dashboards, and collaborate with epidemiology and technical teams to ensure interoperability and data quality. This is an on-site position with flexible contract options.

Qualifications

• Experience with SAS, Python, or R for statistical programming.
• Ability to develop, test and maintain data processing scripts.
• Experience building dashboards and data workflows.

Responsibilities

• Conduct needs assessments to identify business and technical requirements for eICR ingestion into TBIRDS.
• Develop solutions to auto-populate selected TBIRDS fields using electronic initial case reports (eICRs).
• Create and maintain programming scripts, workflows, validation procedures, and system documentation.
• Develop, test, and maintain programs using SAS, Python, R, or other statistical programming tools.
• Build dashboards to support eCR implementation, data modernization, and branch processes.
• Automate workflows such as case triage for clinical review and data ingestion into TBIRDS.
• Test and validate data extraction, standardization, linkage, and processing methods.
• Troubleshoot programming issues and improve the accuracy, completeness, and reliability of automated processes.
• Support electronic health data integration into existing registry workflows.
• Collaborate with epidemiology, program, and technical teams to document system requirements and recommend interoperability solutions.

Skills

SAS

Python

R

Job description

Machine Learning Technologies, LLC seeks a SAS Developer in Austin, TX for a 12-month engagement with potential extension. The role involves building solutions to ingest eICRs into TBIRDS, auto-populating fields, and maintaining automated data workflows.

You will develop and test programs using SAS, Python, and R, create dashboards, and collaborate with epidemiology and technical teams to ensure interoperability and data quality. This is an on-site position with flexible contract options.