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 ideal candidate is highly independent, organized, detail-oriented, and possesses the ability to quickly learn and use new statistical techniques. Experience with programming in R is highly preferred. The position is grant funded.

Responsibilities:

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. 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. Independent, organized, detail-oriented, and possesses the ability to quickly learn and use new statistical techniques. Proficiency in R preferred

Licensure, Certifications, and Clearances:

Act 34 UPMC is an Equal Opportunity Employer/Disability/Veteran