Research Coordinator

Posting Number: TMP02499PO25Job Code Title - Research Coordinator

Campus: Columbia

Department: ASPH Health Services Policy and Management

Salary: $64,000 Part/Full Time - Full TimeHours per Week - 40 Work Schedule - Must be willing to work a flexible schedule to meet the needs of the department. Job Search Category - Other Professional

About US: CFrom the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond. Benefits for Temporary Positions The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers temporary employees expected to work at least 30 hours per week health and life insurance, flexible spending accounts and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.Position Description The Research Coordinator will conduct literature reviews, manage and analyze quantitative data, and contribute to manuscripts and reports. The role will also provide biostatistics and statistical consulting, assist in coordinating summer workshops and training programs, and support research-related consultations for INBRE and other training programs. The analyst will work collaboratively with faculty, staff, and students to ensure high-quality research outcomes.

Qualifications: Master's degree in a health data–related field (e.g., Public Health, Statistics, Biostatistics, Data Science, or Quantitative Economics) by the time of appointment. Strong foundation in quantitative methodology and data analysis. Demonstrated ability to work independently and take initiative. Excellent oral and written communication skills. High professional standards and strong work ethic. Proficiency in statistical and programming software such as SAS, STATA, R, Python, or similar tools.