University of North Carolina - Chapel Hill
UTS - Temporary Statistician Investigator at UNC Chapel Hill
University of North Carolina - Chapel Hill, Elkins Hills, North Carolina, United States
About the University
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.
Position Details Work Schedule: 40 hours/week; hybrid schedule Monday-Friday 8am-5pm
Proposed Start Date: 02/02/2026
Estimated Duration of Appointment: 4 months or less
Position Summary
Data analysis: Develop scripts/code as necessary to streamline/optimize analyses
Communication – writing/editing: Write analytics methods for peer‑reviewed publications and summarize analysis results for stakeholders and stakeholder meetings
Data Collection: Assist with analyses of diverse longitudinal data collected as part of the AURORA study
Administration: Maintain metadata regarding databases and work performed
Other: Develop analysis plans in collaboration with members of the research team
Minimum Education and Experience Requirements 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. A relevant Master’s degree (or foreign degree equivalent) is 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. A Master’s degree with extensive experience will be considered.
Required Qualifications, Competencies, and Experience Strong organizational skills. Must be able to analyze diverse longitudinal data collected as part of research studies. Applicants should have experience with bioinformatics research.
Equal Opportunity Employer Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.
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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.
Position Details Work Schedule: 40 hours/week; hybrid schedule Monday-Friday 8am-5pm
Proposed Start Date: 02/02/2026
Estimated Duration of Appointment: 4 months or less
Position Summary
Data analysis: Develop scripts/code as necessary to streamline/optimize analyses
Communication – writing/editing: Write analytics methods for peer‑reviewed publications and summarize analysis results for stakeholders and stakeholder meetings
Data Collection: Assist with analyses of diverse longitudinal data collected as part of the AURORA study
Administration: Maintain metadata regarding databases and work performed
Other: Develop analysis plans in collaboration with members of the research team
Minimum Education and Experience Requirements 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. A relevant Master’s degree (or foreign degree equivalent) is 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. A Master’s degree with extensive experience will be considered.
Required Qualifications, Competencies, and Experience Strong organizational skills. Must be able to analyze diverse longitudinal data collected as part of research studies. Applicants should have experience with bioinformatics research.
Equal Opportunity Employer Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.
#J-18808-Ljbffr