14996 – SAS Programmer, Public Health Data Integration (Hybrid) – Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration:12 months with possible extensions
Work Setting: Hybrid, Onsite and Telework. Position will be 4 days remote with 1 day required to be onsite at the location listed above. Subject to change per the hiring team as needed.
Only local candidates as required should apply to avoid removal from future consideration.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or other similar programming language scripts. (8 years)
• Experience with system integration, dashboard creation, and automation for improved interoperability workflows. (8 years)
• Experience working with structured or semi-structured health, public health, or other complex administrative data and knowledge of databases and database querying. (8 years)
• Experience in developing reports that documents system requirements to identify programmatic and business needs and translate them into technical solutions. (8 years)
• Experience testing and validating automated data-integration solutions. (8 years)
• Experience in documenting code and technical specifications for improved workflows and procedures. (8 years)
• Strong analytical and problem-solving skills, ability to communicate technical concepts to both technical and nontechnical staff, and Ability to work collaboratively with other staff. (8 years)
Preferred:
• Experience with electronic case reporting (eCR/eICR), Electronic Health Records or Health Information Exchange, healthcare interoperability standards such as HL7, XML, or FHIR, SNOMED CT or other clinical terminology standards. (2 years)
• Experience with SQL and relational databases, public health surveillance systems or registries, data linkage and matching, and development of automated data pipelines or ETL processes. (2 years)
Responsibilities include but are not limited to the following:
• Develop, test, and maintain automated scripts and applications using SAS, Python, R, or similar languages to support data processing, analysis, and system interoperability
• Design and implement system integrations, automated ETL pipelines, and interactive dashboards to streamline workflows and improve data accessibility across public health and administrative systems
• Analyze, manage, and query structured and semi-structured health, public health, and complex administrative data using advanced SQL and database management techniques
• Translate programmatic and business needs into actionable technical solutions by developing comprehensive reports that document system requirements and data specifications
• Test, validate, and document automated data-integration solutions, ensuring code quality, reliability, and alignment with established technical procedures and standards
• Apply healthcare interoperability standards (HL7, FHIR, XML) and clinical terminologies (SNOMED CT) to support electronic case reporting (eCR/eICR), EHR integration, and public health surveillance
• Communicate complex technical concepts to diverse audiences and collaborate cross-functionally to solve analytical problems, optimize data linkage, and enhance health information exchange initiatives