The University of South Carolina Arnold School of Public Health, Department of Epidemiology and Biostatistics has an opening for a full-time, data analyst/data manager for a minimum of two years, possibly longer. This position will fill the role of a Data Analyst and the Data Manager for two grant- funded research studies on diabetes.
Responsibilities:
-
Use SAS, R and potentially SQL code to clean, conduct quality control and develop structured datasets
-
Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” from electronic medical records
-
Interact regularly with multidisciplinary teams at health care institutions across South Carolina
-
Develop analytic plans, write, and execute statistical programs utilizing cross-sectional and longitudinal designs and analysis methods, and prepare visual data displays in the form of tables, graphs, and maps Knowledge, Skills and Abilities:
-
Experience in a public health or clinical research environment, specific foundational knowledge of the science of population-level surveillance
-
Prior experience developing analytic proposals and conducting descriptive and hypothesis-driven analyses of cross-sectional and longitudinal data using statistical software
-
Understanding of relational databases; prior experience analyzing large electronic health record datasets
-
Experience with SAS and R programming.
-
Excellent scientific or technical writing skills and communication skills
Qualifications:
-
Master’s degree in epidemiology, biostatistics, statistics, data science, healthcare informatics, computer science or a recognized field which is directly related to the duties of this position
-
Expertise with SAS, Access, SAS, R, and other statistical, data management and data visualization languages/syntaxes
-
Preferred experience working in an academic research environment, public health entity, healthcare company or managed care environment with a focus on analyzing large healthcare datasets
-
Prior experience developing analytic proposals and conducting descriptive and hypothesis-driven analyses using statistical software
-
Demonstrated ability to develop, apply and document data management methods
For position application and additional information visit: