The Center for Sleep and Circadian Science (CSCS) in the Department of Psychiatry at the University of Pittsburgh has an immediate opening for a (bio)Statistician to perform analyses examining the role of sleep/wake activity in mental health outcomes. Under the supervision of a faculty Biostatistician, and in collaboration with Department of Psychiatry investigators, the candidate will assist with several research projects to analyze data and interpret and communicate results. The ideal candidate is highly independent, organized, detail-oriented, and possesses the ability to quickly learn and use new statistical techniques
Requirements:
Master's degree in Statistics, Biostatistics, Psychology, or a related Social Science field is required; One year of relevant experience with statistical analyses and packages (e.g. SAS, SPSS, R) and Microsoft Office components (e.g. EXCEL, Word, PowerPoint) preferably in research setting; Thorough knowledge and ability to use R and develop reports in R Markdown. Ability to perform descriptive data analysis; to perform statistical modeling for univariate, clustered, longitudinal or time-to-event data; and to execute specialized analyses under the direction of a PhD biostatistician
Text:
Statistician The Center for Sleep and Circadian Science (CSCS) in the Department of Psychiatry at the University of Pittsburgh has an immediate opening for a (bio)Statistician to perform analyses examining the role of sleep/wake activity in mental health outcomes. Under the supervision of a faculty Biostatistician, and in collaboration with Department of Psychiatry investigators, the candidate will assist with several research projects to analyze data and interpret and communicate results. The ideal candidate is highly independent, organized, detail-oriented, and possesses the ability to quickly learn and use new statistical techniques Master's degree in Statistics, Biostatistics, Psychology, or a related Social Science field is required; One year of relevant experience with statistical analyses and packages (e.g. SAS, SPSS, R) and Microsoft Office components (e.g. EXCEL, Word, PowerPoint) preferably in research setting; Thorough knowledge and ability to use R and develop reports in R Markdown. Ability to perform descriptive data analysis; to perform statistical modeling for univariate, clustered, longitudinal or time-to-event data; and to execute specialized analyses under the direction of a PhD biostatistician
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