Post-Doctoral Fellow
Department: CON Biobehvrl Hlth Nrsng Sci Oper
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 University of South Carolina invites applications for a Postdoctoral Fellow to conduct health services research focused on cancer survivorship and disparities using large, linked administrative, clinical, and geospatial datasets. The fellow will work with a multidisciplinary research team under the supervision of Dr. Swann Arp Adams (Principal Investigator) and Dr. Nathaniel Bell (Co-PI). This NIH -funded project integrates administrative, clinical, and spatial data to explore multi-level contributors to colon and lung cancer survival disparities. With administration approval, remote or hybrid work arrangements are available to qualified candidates. This fellowship is a 12-month appointment with the possibility of renewal contingent on performance and funding. The annual salary will follow NIH postdoctoral stipend guidelines and includes benefits (health and retirement).
Key Responsibilities of the position:
• Demonstrated research specialization in public health, health services research, epidemiology, nursing science, or a closely related field.
• Proven experience working with large or complex datasets, including proficiency in statistical software such as SAS , R, or Stata.
• Strong written and verbal communication skills, with the ability to present technical findings to diverse audiences.
• Ability to manage, link, and analyze large population health and administrative datasets.
• Conduct advanced statistical analyses, including geospatial analyses using GIS tools.
• Ensure data quality, integrity, and secure data management practices in accordance with institutional and regulatory standards.
• Prepare manuscripts, presentations, and reports, and contribute to grant writing and research proposals.
• Mentor graduate assistants and provide support for project coordination and execution.
• Participate in weekly virtual research meetings and attend periodic on-site sessions as required.
Required Education and Experience
Preferred Qualifications
• Doctoral degree in epidemiology, health promotion, health services, nursing, or other related discipline.
• Prior experience in geospatial information systems analysis.
Knowledge/Skills/Abilities
• Prior experience in complex data management and big data statistical analysis.
Job Close Date
06/08/2026
Special Instructions to Applicant
Positions are advertised for a minimum of thirty (30) business days on our job website. After thirty (30) 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 June 8, 2026.
To apply, please visit:
https://apptrkr.com/7107401EEO 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.
Copyright ©2025
Jobelephant.com Inc. All rights reserved.
https://www.jobelephant.com/
