The University of North Carolina at Chapel Hill, Injury Prevention Research Center is seeking a programmer who will support multiple epidemiological research studies. This position will assist researchers on various research projects with the analysis of multiple data sources. These include data collected by researchers in the center, electronic medical and health insurance claims records, linked databases that utilize mortality records, data from registry of fatal and severe sport injuries, and other large datasets. The programmer will work on research projects related to a range of injury and violence topics, including studies of suicides, homicides, catastrophic sports injuries, and prescription opioid-related disorders and overdose prevention. Proficiency in management of datasets, statistical analysis, documentation of analytic decision making, platforming of open source style products, and well-developed skills in effective communication with all members of a research team (including study managers, principal investigators, co-investigators, graduate students) will be key to the success of this position. Specifically, the successful person will: 1. Manage, clean and develop analytic datasets for statistical analysis while providing ongoing reports of data quality. 2. Conduct statistical analysis and develop results tables (such as populating shell tables) under the guidance of study investigators, while provide input regarding methodology and potential analytic solutions, and review analytical output to ensure that the validity of the analysis. 3. Document decision-making conducted as a normal part of data management and analysis. Develop accessible and comprehensive documentation of data management and analytic programs for ongoing use by the study investigators. 4. Manage multiple programming tasks across different research projects, coordinate workflows and deadlines with the investigators, and communicate and collaborate effectively, efficiently, and clearly in a manner that maximizes the productivity of the research.
Education and Experience:
At least two years of coding experience in a work environment using statistical software such as SAS, R, Stata - Experience managing and analyzing large, complex, multi-level, healthcare data like health insurance claims and electronic health records - Experience with statistical analysis – Demonstrated ability to take responsibility for the planning, management, and analysis of complex data in a data-driven project - Strong project management skills with proven ability to manage multiple projects concurrently - Exceptional interpersonal and professional communications skills. Must be comfortable working closely with faculty, staff, and students in a collaborative interdisciplinary manner.
Minimum of five years of coding experience in a work environment - Experience in writing macros for analysis of large healthcare data - Experience with generating and posting open source products - Experience using non-statistical programming languages (e.g. Python) - Experience with epidemiological research data - Experience with advanced statistical analyses e.g., survival analysis - Knowledge of data security best practices - Graduate education in computer science, public health, or similar
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
Internal Number: 173081
About The University of North Carolina at Chapel Hill
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