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University of North Carolina at Charlotte

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Postdoctoral Research Fellow in Public Health, Statistics, and Data Science for NIH R01 SKyRoCKeT Study University of North Carolina at Charlotte in United States

Degree Level

Postdoc

Field of study

Data Science

Funding

Temporary full-time postdoctoral appointment with a pay rate of $58,215 for 1 year, with the possibility of a short-term renewal contingent on funding. NIH-funded project.

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Country

United States

University

University of North Carolina at Charlotte

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Keywords

Data Science
Sports Science
Epidemiology
Biostatistics
Kinesiology
Physical Activity
Database Management
Medical Science
Salud Pública
Statistics

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About this position

Postdoctoral Research Fellow opportunity at the University of North Carolina at Charlotte for the NIH R01 SKyRoCKeT Study, an interdisciplinary public health and physical activity project focused on developing a coherent, interpretable, objectively monitored step-based intensity metric to inform physical activity guidelines for young people.

The postdoc will work with Dr. Laura Gunn (PI), Dr. Daheia Barr-Anderson (PI), and Dr. Trudy Moore-Harrison (Co-I) within the Department of Public Health & Health Administration and collaborate with the Department of Applied Physiology, Health, & Clinical Sciences. The role centers on data processing, data management, data checking, and statistical analysis in Excel and R, with additional involvement in recruitment, data collection, manuscript preparation, presentations, reports, and other grant-related activities.

Research areas/keywords: public health, statistics, data science, biostatistics, epidemiology, exercise science, kinesiology, physical activity, wearable devices, Qualtrics, and quantitative methods for youth health research.

Eligibility highlights: applicants must have completed a doctoral degree in Statistics, Data Science, Exercise Science, Kinesiology, Biostatistics, Epidemiology, Public Health, or a closely related field. Strong R coding skills are required. Preferred experience includes primary data collection, Qualtrics, wearable devices, and strong communication and multitasking skills. The position may require some late afternoons, evenings, and weekends for participant recruitment or data collection.

Funding and terms: this is an NIH-funded postdoctoral appointment with a salary of $58,215, offered as a temporary full-time role for 1 year with the possibility of a short-term renewal, contingent on funding. Visa sponsorship is not available.

How to apply: submit your application through the UNC Charlotte jobs portal. Required materials include a CV, cover letter, contact information for 2 references, and unofficial transcripts. If selected, you must provide an official transcript of your highest earned degree.

Funding details

Temporary full-time postdoctoral appointment with a pay rate of $58,215 for 1 year, with the possibility of a short-term renewal contingent on funding. NIH-funded project.

What's required

Completed doctoral degree in Statistics, Data Science, Exercise Science, Kinesiology, Biostatistics, Epidemiology, Public Health, or a closely related area. Strong analytic coding skills in R are required, along with attention to detail, intellectual curiosity, collegiality, and the ability to work collaboratively and independently. Preferred experience includes primary data collection in physical activity, familiarity with Qualtrics and wearable devices, multitasking in fast-paced environments, and strong communication skills. The role also requires flexibility for some late afternoons, evenings, and weekends for data collection if needed. Visa sponsorship is not available.

How to apply

Submit application materials through jobs.charlotte.edu. Include a CV, cover letter, contact information for 2 references, and unofficial transcripts. Be prepared to provide an official transcript of the highest earned degree if selected.

More information can be found here

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