Statistical & Research Analyst — HIV Health Data Insights

Center for Healthcare Quality Statistical/Research Analyst

Department: ASPH Health Promotion, Education and Behavior

Part/Full Time:
Full Time

From the Upstate to the Low country, 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.

The South Carolina Department of Health Promotion, Education, and Behavior and Smart State Center for Healthcare Quality (CHQ) at University of South Carolina (USC) Arnold School of Public Health invites applications for two Statistical/ Research Analyst positions to participate in funded HIV and relevant research. These projects involve the utilization of multiple types of Big Data and advanced statistical methods in studying a variety of issues related to HIV and other health conditions, including but not limited to, community resilience, racial/ethnic disparities of HIV care continuum outcomes, transition of pediatric-to-adult HIV care, HIV associated comorbidities, aging, synthetic data generation.

• Experience in analyzing various data, including but not limited to electronic health records data, public health surveillance data, public health program implementation data, behavioral intervention and data from diverse sources
• Proficiency in statistical and computational languages (SQL, SAAS, R, Python, etc.), skills
• Knowledge of both traditional statistical analysis (e.g., logistic regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI)

• Ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills.

Job Close Date: 08/21/2026

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.