Statistician The Center For Sleep And Circadian Science

The Center for Sleep and Circadian Science (CSCS) in the Department of Psychiatry at the University of Pittsburgh includes several researchers examining the role of sleep/wake activity in mental and physical health outcomes. We value diversity, equity, inclusion, and accessibility and 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.
Under the supervision of a faculty Biostatistician, and in collaboration with Department of Psychiatry investigators, the successful candidate will assist with several research projects to analyze data and interpret and communicate results. The successful candidate 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. The individual will also 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.
This position is grant funded. Responsibilities: Design and carry out statistical analysis Collaborate closely with investigators and other team members as needed to complete publications etc. Document analyses and constructs used in analysis. Participate in the preparation of manuscripts and research reports and presentations from data generated by these studies. Write new programs for data analysis and conduct new data analysis as needed.