Part-Time Academic (STAT 4620.03/5620.03: Data Analysis) - Winter 2027

Job Summary & Key Responsibilities

The Part-Time Academic will teach the half-credit course, STAT Data Analysis, during the Winter Term (January – April 2027). The course is scheduled TR from 1305–1425.

Responsibilities include course preparation, lectures, grading, and student feedback. The successful candidate will maintain 3 hours of scheduled student hours each week.

Course Description:
A variety of statistical models which are useful for the analysis of real data are discussed. Topics include: generalized linear models, such as logistic regression and Poisson regression, models for multidimensional contingency tables, ordered categories and survival data.

Qualifications/Requirements of Position

• A PhD in Statistics is required.
• The successful applicant must have demonstrated knowledge of the subject matter.
• Previous teaching experience is an asset. Please provide teaching evaluations if available.

Salary Range/Pay Rate

Per CUPE Collective Agreement

Additional Information

All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University.

All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.

Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous Peoples of Turtle Island (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, persons identifying as members of 2SLGBTQIA+ communities, and all candidates who would contribute to the diversity of our community. In accordance with our Employment Equity Policy, preference will be given in hiring processes to candidates who self-identify as members of one or more of the equity-deserving groups listed above.