Location: United States
Cap-Exempt H-1B Position — No lottery required
Why RTI RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems. We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you. About the Hiring Group RTI’s Center for Data Interoperability is seeking dynamic and detail-orientated candidates for a full-time Research Programmer/Analyst with Python, SAS or SQL analytic programming experience. The Research Programmer/Analyst will work with researcher teams to analyze and synthesize complex qualitative and quantitative administrative health data from multiple sources into meaningful results. Individuals in this role will provide analytic development and statistical programming expertise to project teams conducting research using healthcare data, especially large and complex health insurance claims and survey data, in a fast-paced environment. This position is based in Research Triangle Park or any other U.S. location as a telecommuter. What You'll Do **Core responsibilities:** **Approximately 85% of working time will require:** - Applying coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases - Leveraging a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client r