University of South Carolina
2 weeks ago
Postdoctoral Fellow in Statistical Methodology and Digital Biomarker Discovery University of South Carolina in United States
Degree Level
Postdoc
Field of study
Biostatistics
Funding
Postdoctoral staff research grant position at the University of South Carolina. Salary is commensurate with qualifications. The role is tied to an R01-funded project and may be eligible for some benefits as a research grant/time-limited position.
Deadline
Oct 30, 2026
Country
United States
University
University of South Carolina

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About this position
Postdoctoral Fellow opening at the University of South Carolina in Columbia, South Carolina, United States, within the Arnold School of Public Health, Department of Epidemiology and Biostatistics.
This position is centered on statistical methodology and applied research for an R01-funded project focused on digital biomarker discovery. The fellow will work under the mentorship of Dr. Ghosal and co-PI Dr. Cui to develop and implement advanced functional data analysis and distributional data analysis methods, design simulation studies, analyze complex real-world data, and produce manuscripts for peer-reviewed journals.
Responsibilities include methods development, manuscript writing, open-source R software/package development, and dissemination of findings at statistics and biostatistics conferences. The role also includes mentoring support and opportunities to contribute to graduate and undergraduate training.
Eligibility highlights: a Ph.D. is required by the start date; preferred experience includes publications, functional/longitudinal data analysis, wearable or digital biomarker data, and strong statistical computing skills in R and/or Python.
Funding: salary commensurate with qualifications; research grant/time-limited position with possible benefits depending on grant/project funding.
Deadline: applications are accepted until 2026-10-30.
Funding details
Postdoctoral staff research grant position at the University of South Carolina. Salary is commensurate with qualifications. The role is tied to an R01-funded project and may be eligible for some benefits as a research grant/time-limited position.
What's required
A doctoral (Ph.D.) degree in the relevant research specialty is required by the start date. Preferred qualifications include a strong publication record in peer-reviewed journals, strong understanding of functional data analysis and longitudinal data analysis, some experience with wearable or digital biomarker data, and clear communication and presentation skills. Strong statistical and computational skills, with proficiency in R and/or Python, are desired, along with independent research ability, attention to detail, initiative, and ethical conduct of research.
How to apply
Apply through the University of South Carolina jobs portal using the posting link. Submit the application by October 30, 2026, and monitor email/phone for follow-up if shortlisted.
More information can be found here
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