Date Posted: June 29, 2022
Closing Date: July 22, 2022 – 11:59 PM EST
Req ID: 25563
Faculty/Division: School of Graduate Studies
Department: Master of Biotechnology Program
Campus: UTM – University of Toronto Mississauga
Course Number and Title: BTC1877H5F – 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: 14
Estimated TA support: 42
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 2022)
Sessional Dates of Appointment: September 7th – December 31st, 2022
Salary: 15,500 (includes 4% vacation pay)
Minimum Qualifications: Experience required in teaching accredited courses at a recognized university. A PhD in biostatistics is required. 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 MBiotech ‘Opportunities’ website
- Submit the completed application form, together with your CV, to julian.gaspini@utoronto.ca, MBiotech, UTM. Include: ‘BTC1877H SL Application’ in the subject line.
Closing Date: 07/22/2022, 11:59PM EDT
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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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.