88 Statistics positions at University of Pittsburgh in United-states in United States
-
Faculty Professor Assistant/Statistics - Full-Time Statistics - Pennsylvania-Pittsburgh - (19008508) The Department of Statistics at the University of Pittsburgh invites applications for two tenure
-
Faculty Lecturer/Statistics - Full-Time Statistics - Pennsylvania-Pittsburgh - (19008509) The Department of Statistics at the University of Pittsburgh invites applications for two full-time Lecturer
-
Faculty Lecturer/Statistics- Full-Time Statistics - Pennsylvania-Pittsburgh - (19008510) The Department of Statistics at the University of Pittsburgh invites applications for two full-time Lecturer
-
Faculty Professor Assistant/Statistics - Full-Time Statistics - Pennsylvania-Pittsburgh - (19008512) The Department of Statistics at the University of Pittsburgh invites applications for two tenure
-
Data Scientist GSPH-Epidemiology - Pennsylvania-Pittsburgh - (24004734) Job Summary Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and
-
cancer research, and working with members of the faculty to proceed with study design, statistical analysis, manuscript writing, and submission and presentation of work at conferences. Incumbent will also
-
. They will also be expected to know how to work with statistical software including Prism and or R, as well as any other assignments that the principal investigator may request. Minimum Requirements - MD/Ph.D
-
design, statistical analysis, manuscript writing, and submission and presentation of work at conferences. Incumbent must possess an MD degree, strong verbal, interpersonal, and written communication skills
-
Expertise: Apply statistical techniques, database design, and data mining. Process Improvement: Identify opportunities and collaborate with management to prioritize resources. Why Join Us? Impactful Work
-
have proficient knowledge in at least one statistical software package (e.g. SAS) and some working knowledge of other packages (e.g. SPSS, R). The staff member should have some working knowledge of SQL