Job Title

Course Description 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. Minimum Qualifications 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. Preferred Qualifications Same as minimum qualifications. Description of Duties 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. Application Procedure Download and fill out the General Application Form from the IMI Employment website. Submit the completed application form, together with your CV, to , MBiotech, UTM. Include: BTC1877H SLApplication in the subject line. Salary and Appointment Dates Salary: $17,267.74 (includes 4% vacation pay) Sessional Dates of Appointment: September 3rd - December 31st, 2024 #J-18808-Ljbffr