Sessional Lecturer -BTC1859H5Y - Date Science in Health I

Updated: about 1 month ago
Location: Downtown Toronto University of Toronto Harbord, ONTARIO
Deadline: ;

Date Posted: March 6th, 2024

Closing Date: March 29th, 2024 - 11:59 PM EST
Req ID: 36422
Faculty/Division:  School of Graduate Studies
Department: Master of Biotechnology Program
Campus: UTM - University of Toronto Mississauga

Course Number and Title: BTC1859H5Y – Date Science in Health I

Course description:

This course will introduce students to biostatistics and data science. Statistical and data analysis methods covered will start with descriptive statistics and basic univariate tests and continue to more advanced regression models and other topics. The sessions will include lectures and hands-on tutorials that include real-time exercises. It is key that students are able to identify which methods to apply to what kind of data set, the assumptions of the model and how to interpret the output. Special emphasis in the course will be placed on critical thinking around analytical methods to be used. Problem sets will be focused on the application of statistical modelling to the biological and health sciences. A key component of the course will involve programming in R in order to conduct statistical analysis. Students will have both individual and team assignments to provide practice coding in R, one of the main languages used today in performing statistical analysis.

Estimated course enrolment: 19

Estimated TA support: 16

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 Summer 2024)

Sessional Dates of AppointmentMay 21st - August 30 th, 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 [email protected], MBiotech, UTM.  Include: ‘BTC1859H SL Application’ in the subject line.
  • Closing Date: March 29th, 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.



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