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The University of North Carolina at Chapel Hill

UTS - Temporary Statistician Investigator at UNC Chapel Hill

The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States, 27517

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UTS - Temporary Statistician Investigator at UNC Chapel Hill

Join the Institute for Trauma Recovery at the University of North Carolina at Chapel Hill as a Temporary Statistician Investigator. This full‑time, temporary position (SHRA) will work on large longitudinal studies, primarily the AURORA study funded by the National Institute of Mental Health, and other related R01 projects. The role involves advanced statistical analysis, data management, and scientific communication to support trauma research and clinical trials. Posting Information

Department: HR UTS Partnership • Career Area: Research Professionals • Position Type: Temporary Staff (SHRA) • Position Title: UTS - Temporary Statistician Investigator at UNC Chapel Hill • Vacancy ID: S026654 • Status: Full‑Time Temporary • Hours per Week: 40 hours/week • Work Schedule: 8:00 am–5:00 pm, Monday–Friday (hybrid) • Location: Chapel Hill, NC • Hiring Range: $46/hour • Proposals Start Date: 02/02/2026 • Estimated Duration: 4 months or less Description of Work

The investigator will work closely with a multidisciplinary research team to analyze diverse longitudinal data collected in the AURORA study and other ongoing projects. Key responsibilities include: Conducting data analysis and developing scripts/code to streamline and optimize analyses. Writing and editing analytic methods for peer‑reviewed publications and preparing summaries of analysis results for stakeholders and meetings. Assisting with data collection and analysis of longitudinal data from the AURORA and related R01 studies. Maintaining metadata regarding databases and work performed. Collaborating with team members to develop analysis plans. Minimum Education and Experience Requirements

Relevant master’s degree (or foreign equivalent) preferred; PhD preferred. Experience with Mplus or R software packages, structural equation modeling, and clinical or epidemiological research. Strong scientific writing skills, advanced statistical analysis capability, and ability to learn new analytical techniques. Required Qualifications, Competencies, and Experience

Strong organizational skills and proven ability to analyze diverse longitudinal data. 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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