Posting number: 9831151
Department: University of South Carolina
Job classification: Post Doctoral Fellow
Posting type: Open
Categories: Research
Post Doctoral Fellow Department: ASPH Epidemiology and Biostatistics 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 primary purpose of this Postdoctoral Fellow position is to drive statistical methodology and applied research for an R01-funded project focused on digital biomarker discovery. Under the direct mentorship of Dr. Ghosal and co-PI Dr. Cui, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process complex real-world data, and translate analytical outcomes into high-impact methodological and applied manuscripts for tier-1 peer-reviewed journals. Furthermore, the scholar will contribute to the broader scientific community by developing well-documented, open-source statistical software in R, presenting research at major biostatistics conferences, and providing guidance to graduate and undergraduate students, all while receiving continuous support for their own professional growth and independent research career.
Knowledge/Skills/Abilities - Knowledge: A strong working knowledge and prior research experience in the area of functional data analysis are sought. Experience with distributional data analysis is desired but not necessary. - Skills: Strong statistical and computational skills. Proficient in statistical computing in R and/or Python. - Abilities: The following capabilities are desired: independent research capabilities, analytical acumen, attention to detail, initiative, and ethical conduct of research.
Preferred Qualifications - Track record of successful publications in peer-reviewed journals. Strong understanding of functional data analysis, longitudinal data analysis, and related Statistical concepts. - Some experience with analyzing wearable or digital biomarker data. - Clear communication and presentation skills for engaging effectively with faculty investigators and project teams on research activities and results.
Job Close Date 10/30/2026 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 30, 2026. To apply, please visit: https://apptrkr.com/9831151 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. je-d167df317cb4492a96f5ac8aef7c69cb
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