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# SAS/R/Python Developer

- **Company:** Bansar Technologies Inc
- **Location:** Austin, TX, United States
- **Contract:** Contract
- **Skills:** Clinical Terminology Servers, Databases, Data Integration, Extract Transform Load (ETL), Relational Databases, Database Queries, R (Programming Language), Health Information Management, Interoperability, Python (Programming Language), SAS (Software), Software Requirements Analysis, SQL Databases, Systems Integration, Extensible Markup Language (XML), Fast Healthcare Interoperability Resources, Electronic Medical Records, Health Level Seven International, Data Pipelines, Programming Languages
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/cf155e57-4054-4db5-9696-c4aeb54e3465

## About the Role

Years Required/Preferred Experience
8 Required Experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or other similar programming language scripts.
8 Required Experience with system integration, dashboard creation, and automation for improved interoperability workflows.
8 Required Experience working with structured or semi-structured health, public health, or other complex administrative data and knowledge of databases and database querying.
8 Required Ability to develop reports that documents system requirements to identify programmatic and business needs and translate them into technical solutions.
8 Required Experience testing and validating automated data-integration solutions.
8 Required Ability to document code and technical specifications for improved workflows and procedures.
8 Required 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.
2 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 Preferred 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.