Date Posted: August 1st, 2024
Closing Date: August 15th, 2024 - 11:59 PM EST
Req ID: 39084
Faculty/Division: School of Graduate Studies
Department: Master of Biotechnology Program
Campus: UTM - University of Toronto Mississauga
Course Number and Title: BTC177H5F – Date Science in Health II
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
assemble 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 web scraping, working with unstructured data, data cleaning and data governance
building upon the course Data Science in Health I. The course will emphasise 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.
.
Estimated course enrolment: 19
Estimated TA support: 40-50
Class Schedule: Specific dates to be determined in consultation with the MBiotech Program Office (NOTE: All courses at UofT Mississauga are expected to be delivered in-person in Fall 2024)
Sessional Dates of Appointment: September 3rd - December 31st, 2024
Salary: $17,267.74 (includes 4% vacation pay)
Minimum Qualifications: Experience required in 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 ortensia.qendro@utoronto.ca, MBiotech, UTM. Include: ‘BTC1877H SL Application’ in the subject line.
Closing Date: August 15th, 2024 - 11:59PM EDT
**
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.