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 postdoctoral fellow will conduct quantitative analyses using complex datasets, lead cost-effectiveness and simulation modeling activities, perform systematic reviews and evidence synthesis, lead and contribute to manuscript development, and assist with study coordination across both projects.
Required Education and Experience
Preferred Qualifications
- Doctoral degree (PhD, DrPH, or equivalent) in public health, health services research, epidemiology, health economics, or a closely related field
Knowledge/Skills/Abilities
- Strong quantitative and analytic skills
- Proficiency working with complex or structured datasets
- Excellent scientific writing and ability to lead projects independently
- Familiarity with health economics, cost-effectiveness analysis, or simulation modeling
- Experience with systematic review and evidence-synthesis methods (preferred)
- Knowledge of implementation science frameworks (preferred)
Job Close Date
10/22/2026
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 October 22, 2026.
To apply, please visit: https://uscjobs.sc.edu/postings/213579
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.
