UTS - Temporary Statistician Investigator at UNC Chapel Hill

40 hours/week; hybrid schedule
Monday-Friday 8am-5pm

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.

One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

Cover letter is required along with resume. Please include in submittal.

The Institute for Trauma Recovery at the University of North Carolina at Chapel Hill is looking for a data analyst/statistician at or above the master's degree level, to work in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary focus of the position will be to assist with analyses of diverse longitudinal data collected as part of the ~$35 million dollar AURORA study. This study, funded by the National Institute of Mental Health and private and foundation partners, enrolled individuals presenting to a large network of emergency department in the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotype, psychosocial, neuroimaging, and genomic markers. In addition to analyses of these data, the statistician will also analyze data from longitudinal data collected as part of many other past and current R01 studies going on in the institute, as well as the analysis of clinical trial data.

Ideal candidates would have experience with Mplus or R software packages; and the ability to collaborate effectively in a multidisciplinary environment. Prior experience performing structural equation modeling is preferred, as is experience in clinical or epidemiological research.

Minimum of a relevant Master's degree (or foreign degree equivalent) preferred. Ideal candidates will have a PhD in a social, applied, or related science discipline, demonstrated ability as a scientific writer, demonstrated ability to perform advanced statistical analyses and learn and perform statistical analyses new to them, expert knowledge of R and other software packages; and the ability to collaborate effectively on multidisciplinary teams. Master's degree with extensive experience will be considered

Strong organizational skills. Must be able to analyze diverse longitudinal data collected as part of research studies. Applicants should have experience with bioinformatics research.

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UNC-Chapel Hill and NC State University are collaborating to extend NC State's internal temporary staffing function as a shared service for both institutions. Under this partnership, UTS provides exclusive temporary staffing services to UNC-Chapel Hill and NC State, employing candidates to work as temporary employees in a variety of jobs on both campuses. If you are interested in applying to this position please click on the following link: https://jobs.ncsu.edu/postings/215438

If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu

Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.