Senior Post Award Admin.
State of South Carolina
Posted: April 14, 2026 (1 day ago)
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State of South Carolina
University of South Carolina
This job is for a postdoctoral fellow working on research projects related to HIV and other health issues, using large datasets and advanced statistical techniques to explore topics like community resilience, racial disparities in care, and aging with HIV.
It involves analyzing various types of health data to improve public health outcomes.
A good fit would be a recent PhD graduate in biostatistics or a related field who enjoys independent research, has strong data analysis skills, and is passionate about addressing health inequalities.
Post Doctoral Fellow
Department: ASPH Health Promotion, Education and Behavior
Part/Full Time: Full Time
Advertised Salary Range:
About UofSC
From 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.
Advertised Job Summary
The South Carolina Department of Health Promotion, Education, and Behavior and SmartState Center for Healthcare Quality (CHQ ) at University of South Carolina (USC ) Arnold School of Public Health invites applications for two post-doctoral fellow 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.
Required Education and Experience
Preferred Qualifications
• Doctoral (Ph.D.) degree in biostatistics, bioinformatics, or other relevant public health fields
• 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)
Knowledge/Skills/Abilities
Ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills.
Job Close Date
05/23/2026
Special Instructions to Applicant
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time.
This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors.
Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by May 23, 2026.
To apply, please visit: https://apptrkr.com/7065531
EEO Statement
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.
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