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Postdoctoral Fellow in Statistical Methodology for Digital Biomarker Discovery University of South Carolina in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral staff research grant position at the University of South Carolina. Salary is commensurate with qualifications. The posting notes that research grant or time-limited positions may be eligible for some or all benefits depending on grant/project funding.
Deadline
Dec 15, 2026
Country
United States
University
University of South Carolina

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About this position
Postdoctoral Fellow in Statistical Methodology for Digital Biomarker Discovery at the University of South Carolina (Columbia, South Carolina, United States).
This is a postdoctoral opening in the Arnold School of Public Health, Department of Epidemiology and Biostatistics, supporting an R01-funded project focused on digital biomarker discovery. The fellow will work under the direct mentorship of Dr. Ghosal and co-PI Dr. Cui to develop and apply advanced functional data analysis, distributional data analysis, and longitudinal data analysis methods.
Core responsibilities include methodological development, simulation studies, processing and analyzing complex real-world data, writing manuscripts for top statistics/biostatistics journals, and developing open-source statistical software in R (with sharing on platforms such as GitHub). The role also includes presenting at major biostatistics conferences and supporting graduate and undergraduate students.
Eligibility highlights: a Ph.D. in the relevant research specialty is required by the start date. Preferred experience includes peer-reviewed publications, strong statistical/computational skills, proficiency in R and/or Python, and familiarity with wearable or digital biomarker data. Strong communication, independence, and attention to detail are emphasized.
Funding: salary is commensurate with qualifications; benefits may be available depending on grant/project funding.
Deadline: applications are accepted until 2026-12-15.
Funding details
Postdoctoral staff research grant position at the University of South Carolina. Salary is commensurate with qualifications. The posting notes that research grant or time-limited positions may be eligible for some or all benefits depending on grant/project funding.
What's required
Requires a doctoral (Ph.D.) degree in the research specialty by the start date. Preferred qualifications include a track record of peer-reviewed publications, strong understanding of functional data analysis and longitudinal data analysis, some experience analyzing wearable or digital biomarker data, clear communication and presentation skills, strong statistical and computational skills, and proficiency in R and/or Python. Independent research capability, analytical acumen, attention to detail, initiative, and ethical conduct are desired.
How to apply
Apply through the University of South Carolina posting before December 15, 2026. Use the official application page linked in the posting and submit materials through the USC jobs portal.
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