Position Title:

Assistant Professor on Educator Track

Job Family Group:


Job Description Summary:

The Department of Biostatistics & Data Science at the University of Kansas Medical Center is recruiting an educator track faculty member to join a vibrant group of faculty, staff and students, and to collaborate across the medical center and within the department. This position will be responsible for teaching in our online MS program in Applied Statistics, Analytics, & Data Science, and our MS and PhD programs in Biostatistics. Other responsibilities include serving on committees, advising students, and conducting research and evaluation of educational activities. The department currently consists of 17 Ph.D. faculty, 4 teaching associates, 2 Post-docs, and multiple staff members. Expertise within the department includes linear, nonlinear, and longitudinal modeling, clinical trial and experimental design, survival analysis, categorical data analysis, statistical omics, data integration, machine learning, and Bayesian methodology.

Job Description:

Teach statistics/biostatistics and/or data science courses for graduate students in applied statistics, analytics, data science, biostatistics, and other disciplines.

Conduct research and/or evaluation on education-related topics.

Mentor and advise students.  

Perform other duties as may be assigned by chair.  

** Required Qualifications **

Doctoral degree with at least masters degree in statistics, biostatistics or similar area. Ability to effectively interact with departmental faculty, University personnel, educators from other departments, support staff, and students. Candidates must have the ability to work cooperatively and collegially within a diverse environment, creating a positive and collaborative atmosphere for achieving success. Excellent written and verbal communication abilities. Online education experience as a student or as an instructor.

** Preferred Qualifications **

Experience in teaching professional and/or graduate students.

Employee Type:


Time Type:

Full time



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