SAS/R/Python Developer

Bansar Technologies Inc
Austin, TX, United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

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
+8 more
SQL Databases Systems Integration Extensible Markup Language (XML) Fast Healthcare Interoperability Resources Electronic Medical Records Health Level Seven International Data Pipelines Programming Languages

Requirements

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.

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