Position Summary

The department 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 different 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 varied 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.

Minimum Education and Experience Requirements

• Master’s degree in a social science, applied science, clinical science, epidemiology, or closely related discipline required; PhD preferred. Foreign equivalent degrees will be considered.
• Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD.
• Demonstrated experience conducting advanced statistical analyses, with the ability to independently learn and apply new analytical methods as needed.
• Experience with structural equation modeling (SEM) strongly preferred.
• Proficiency in statistical programming and analysis software, including R; experience with Mplus preferred.
• Demonstrated scientific writing ability, including contributing to peer-reviewed manuscripts, technical reports, or research publications.
• Experience working in clinical, epidemiological, or multidisciplinary research environments preferred.
• Proven ability to collaborate effectively as part of interdisciplinary teams.
• Strong organizational skills with the ability to manage multiple tasks, datasets, and project timelines effectively.
• Ability to analyze complex longitudinal data collected across research studies, including cleaning, structuring, and interpreting multi-timepoint datasets.
• Experience with bioinformatics research, including working with biological, clinical, or molecular datasets and applying computational or statistical methods to interpret results.

Management Preferences

• 2–5+ years of experience in quantitative research, advanced statistical analysis, or applied data science in academic, clinical, epidemiological, or research settings preferred.
• Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD.