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A leading Canadian university in Mississauga is seeking an experienced academic for a graduate course focused on advanced statistical tests in machine learning. The role requires a PhD in statistical methods or mathematics, teaching experience, and proficiency in R. Responsibilities include course design, team projects coordination, and student evaluations. This sessional position offers a salary of $17,267.74, valid from September 3rd to December 31st, 2024.
This graduate course takes students with a basic background in statistics and equips them to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assembling such tests by accessing and validating publicly available code in the R programming language and creating their own code as needed. Students will also learn additional techniques pertaining to web scraping, working with unstructured data, data cleaning and data governance building upon the course Data Science in Health I. The course will emphasize creative approaches to analysing data and how to be critical of misleading analysis. Each class will involve both lecture and weekly tutorial assignments. The major project for the course will involve a large health data set that teams will compete to analyse.
Experience required teaching accredited courses at a recognized university. A PhD in statistical methods/biostatistics, and/or mathematics. Advanced coding experience with “R” is essential. Published research analyzing clinical trial data. Experience working in a hospital environment.
Same as minimum qualifications.
All normal duties related to the design, teaching and delivery of a University credit course including: selecting and inviting a series of speakers if deemed appropriate; coordinating student team projects; meeting with each of the student teams to guide/advise them on their projects; holding office hours as required; marking/evaluating; recording student attendance; recording and submitting grades; and communicating with students on course related matters.
Salary: $17,267.74 (includes 4% vacation pay)
Sessional Dates of Appointment: September 3rd - December 31st, 2024