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| Job Title: |
Postdoctoral Research Fellow for NIH R01 SKyRoCKeT Study
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| Job Number: |
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| Organization: |
University of North Carolina at Charlotte (UNC Charlotte)
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| Posted: |
10/23/2026
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| Type: |
Full-Time
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| Classification: |
Biostatistics
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| Industry: |
Academic Institutions
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| Number of Openings: |
1
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| Location: |
Charlotte, NC
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| Compensation: |
$58,215
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| Position Description: |
The NIH-funded R01 SKyRoCKeT study is seeking an additional postdoctoral research fellow to primarily support data processing, management, checking, and analysis. The postdoc will also contribute to grants management throughout the project lifecycle in areas such as participant recruitment; data collection in the lab as needed; leading and/or collaborating on manuscripts, presentations, and/or reports; and additional responsibilities as needed. Note: This position will not be able to sponsor a visa, including for any possible renewal term.
Specific Responsibilities: ? Complete trainings required for the study team, including (but not limited to): CITI Research Trainings (Data or Specimens Only Research, Good Clinical Practice, Social & Behavioral Research/IRB, Biomedical Research/IRB, Health Information Privacy & Security); Minors on Campus Training; First Aid, CPR, & AED Training ? Primary responsibilities will be to perform data processing, management, checking, and analysis in Excel and R (primarily), thus familiarity with R is required ? Familiarity with Qualtrics for accessing data is preferred ? Participate in other grant-related activities, which may include (though not limited to): ? Active recruitment of youth participants at events on and off campus, and throughout the local community ? Lead and/or collaborate on manuscripts, conference presentations, and/or reports, etc. ? Liaise, as needed, with representatives/staff in offices across campus such as with post-award, HR, etc. ? If needed, conduct participant study orientations and obtain participant consent ? Assist in training junior staff to ensure consistency in results during testing and to achieve high-quality data acquisition ? Attend weekly full study team meetings and any additional sub-team meetings specifically regarding issues related to data collection, data management, etc. ? Attend weekly data management meetings among study postdocs and Dr. Gunn to discuss and address data management and statistical analysis ? Contribute to collaborative team discussions regarding issues that may arise throughout the study, study progress, etc. ? Participate in additional projects related to research dissemination, including (but not limited to) literature reviews or validating video recordings ? If needed, perform data collection. This may involve the following: assisting with setting up equipment, ensuring it is calibrated and functioning correctly, preparing the testing environment according to procedural standards, performing anthropometric measurements, administering tests to determine metabolic rates, recording test results, using GoPro camera to record testing protocol, and manually tallying steps ? Maintain accurate records and documentation related to the research study, including downloading wearable device data and forms post-testing, etc. ? Other duties as needed/assigned
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| Qualifications: |
Required Qualifications: · Completed doctoral degree in Statistics, Data Science, Exercise Science, Kinesiology, Biostatistics, Epidemiology, Public Health or closely related areas · Analytic coding skills for data management and analyses in R statistical software · Attention to detail · Interest in learning about and applying quantitative methods in exercise science to inform public health physical activity guidelines · Collegiality within an interdisciplinary team; work well collaboratively & independently · Strong intellectual curiosity · Work flexibility with some availability in later afternoons/evenings and weekends for data collection if needed, adjusting your time off accordingly
Preferred Qualifications: · Prior primary data collection experience, particularly in the area of physical activity · Familiarity with Qualtrics and wearable devices for accessing data · Ability to successfully multitask and work in fast-paced environments · Great communication skills
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| Organization Description: |
The NIH-funded R01 SKyRoCKeT Study is an innovative critical step to provide a coherent, interpretable, objectively monitored step-based intensity metric to inform (inter)national physical activity (PA) guidelines by transforming currently vague guidelines of PA intensity into quantifiable PA recommendations that can be of widespread use. The SKyRoCKeT Study will allow for a user-friendly, interpretable metric to more accurately inform public health/behavioral interventions, assessments, analyses, school- based health and physical education curricula and programs, and public health messages for young people and their caregivers. To learn more about the study, please visit: https://clinicaltrials.gov/ct2/show/NCT057708 17.
The position is housed within the Department of Public Health & Health Administration, and the postdoctoral researcher will collaborate with team members from the Department of Applied Physiology, Health, & Clinical Sciences. Both departments are housed within the College of Health & Human Services at University of North Carolina at Charlotte (UNC Charlotte).
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| Closing Date: |
1/23/2027
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| Desired Starting Date: |
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| Contact Name: |
Laura Gunn, Postdoctoral Research Fellow for NIH R01 SKyRoCKeT Study
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| Contact Location: |
NC
United States
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| Contact Location: |
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NC
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United States
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| Contact Phone: |
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| Contact Fax: |
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| Contact Email: |
laura.gunn@charlotte.edu
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| Web Address: |
https://jobs.charlotte.edu/postings/71454
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| How to Apply: |
Application materials should be submitted online at https://jobs.charlotte.edu/postings/71454 and include: · Resume/CV · Cover letter · Contact information for 2 references · Transcripts · Note: This position will not be able to sponsor a visa, including for any possible renewal term.
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| Additional Information: |
Anticipated Start Date: December 1, 2026 (if possible, or flexibility to start in early 2027 if necessary)
Term: 1 year (with the possibility of a short-term renewal) contingent on funding and a successful performance review
Benefits: Eligible for health insurance and supplemental retirement plans UNC Charlotte Postdoc Benefits Information: https://gradlife.charlotte.edu/postdocs/benef its
Please reach out to Dr. Laura Gunn with any questions related to this position: Dr. Laura Gunn, Professor & NIH-Funded SKyRoCKeT Study PI laura.gunn@charlotte.edu
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| Web Site Delete Date: |
1/23/2027
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