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.
This position is grant funded.
- Data Analysis: The individual will select appropriate statistical methods (including both classical and modern approaches), create variables and datasets as needed, and apply the methods to analyze data and interpret the results. The individual will prepare and present oral and written reports of findings, including tables and graphical displays.
- Develop Reports and Manuscripts: The individual will assist in the development of reports or manuscripts for peer-review, including but not limited to scholarly journals. Additional duties may include review of statistical components of protocols for scientific or IRB review and/or statistical analysis plans.
The CSCS values diversity, equity, inclusion, and accessibility. We are committed to fostering an inspiring environment that gives voice to individuals from all backgrounds and experiences. We dedicate ourselves to developing a more diverse and representative workforce across the field of sleep and circadian science; conducting socially conscious and inclusive research that addresses the causes, consequences, and mitigation of sleep health disparities; and providing a safe, supportive environment for participants, trainees, students, staff, and faculty.
- 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.
- Excellent communication and collaborative skills, both oral and written.
- Interest in learning about diverse areas of psychiatric, sleep, and circadian research.