Position Summary

The Institute for Trauma Recovery is seeking a data analyst/statistician at or above the master’s degree level to join a collaborative team of investigators and perform statistical analyses to advance discoveries that support 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 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 departments 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 a 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 longitudinal data from many other past and current R01 studies at the institute, as well as clinical trial data.

Required Qualifications, Competencies and Experience

Strong organizational skills. Must be able to analyze diverse longitudinal data collected as part of research studies and have prior experience publishing peer-reviewed manuscripts and preparing other academic, grant, or stakeholder-facing materials.

Preferred Qualifications, Competencies, and Experience

Ideal candidates would have experience with software and the ability to collaborate effectively in a multidisciplinary environment. Prior experience with advanced statistical methods (e.g., multilevel modeling, latent/class cluster analysis, regression-based methods) is preferred, as is familiarity with machine learning techniques. Candidates should also demonstrate proficiency with both basic and advanced statistical analyses 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.

Description of Work

Data analysis
Develop scripts/code as necessary to streamline/optimize analyses
Communication – writing/editing
Writing and contributing to peer-reviewed publications
Writing results reports and presenting findings in stakeholder meetings or research conferences
Data collection
Assist with analyses of diverse longitudinal data collected as part of a study
Administration
Maintaining meta-data regarding databases and work performed
Other
Developing analysis plans in collaboration with members of the research team

SDI International Corp.

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