Sessional Instructional Assistant - BTC1877H5F: Data Science in Health II

University of Toronto, Canada

Updated: over 1 year ago
Location: Downtown Toronto University of Toronto Harbord, ONTARIO
Deadline: ;

Date Posted: Aug 19, 2022

Closing Date: Sept 2, 2022
Req ID: 26823
Faculty/Division: School of Graduate Studies - Institute for Management and Innovation
Department: Master of Biotechnology
Campus: University of Toronto Mississauga

Course Number & Title: BTC1877H – Data Science in Health II

Course Description: This graduate course equips students 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 to web scraping, working with unstructured data, data cleaning and data governance, building upon the course Data Science in Health Part I. The course will emphasize creative approaches to analyzing data and how to be critical of misleading analysis.

Estimated Course Enrolment: 13

Number of Positions Available: 1

Estimated Size of Appointment: 30-50 hours

Sessional Dates of Appointment: Specific duties will occur between September 7th, 2022 and December 21st, 2022. All duties will be conducted online.

Salary: Effective Jan 1, 2022, the following rates apply: $47.17 per hour + 4% vacation pay. Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. The rate of pay is established by the Collective Agreement between Canadian Union of Public Employees (CUPE), Local 3902 Unit 1 and the University of Toronto.

Minimum Qualifications: Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language

Preferred Qualifications: Same as “Minimum Qualifications”

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 [email protected], MBiotech, UTM.  Include: ‘BTC1877H TA Application’  in the subject line.

    • Closing Date: Sept 2, 2022 at 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.


    Similar Positions