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Sessional Lecturer - MSC1123H An Introduction to Categorical Data Analysis Date Posted: 07/02/2024
Req ID: 38479
Faculty/Division: Faculty of Medicine
Department: Inst of Medical Science
Campus: St. George (Downtown Toronto)
Description: MSC1123H S (0.25 FCE) An Introduction to Categorical Data Analysis
Categorical data is a type of qualitative data that involves grouping observations into categories instead of measuring them numerically. It is common form of data found in many branches of science, so the ability to work effectively with categorical data is an important skill for researchers to possess. This course will provide students with the knowledge and skills to perform and interpret categorical data analysis involving contingency tables and logistic regression models. The statistical software package R with the R Studio interface will be used. Both descriptive and inferential statistical methods will be covered.
Sessional dates of appointment: January 1, 2025 to April 30, 2025
Salary In accordance with the CUPE 3902 Unit 3 Collective Agreement): Effective September 1, 2023
Sessional Lecturer I - $18,915.79 (Y, full course) & $9,457.90 (H, half Course, 0.5 FCE) includes 4 per cent vacation pay; Sessional Lecturer I Long Term - $19,861.58 (Y, full course) & $9930.79 (H, half Course, 0.5 FCE) includes 6 per cent vacation pay; Sessional Lecturer II - $20,243.53 (Y, full course) & $10,121.77 (H, half Course, 0.5 FCE) includes 6 per cent vacation pay; Sessional Lecturer II Long Term - $20,653.23 (Y, full course) & $10,326.62 (H, half Course, 0.5 FCE) includes 6 per cent vacation pay; Sessional Lecturer III -$20,725.52 (Y, full course) & $10,362.76 (H, half Course, 0.5 FCE) includes 6 per cent vacation pay; Sessional Lecturer II Long Term - $21,140.03 (Y, full course) & $10,570.02 (H, half Course, 0.5 FCE) includes 6 per cent vacation pay. Qualifications: Applicants must have a Master's or PhD degree in Statistics/Biostatistics or related discipline. Applicants must have a solid understanding of generalized linear models, in general, and categorical data analysis, in particular. Applicants must have demonstrated effective teaching experience in a college or university setting. Preference will be given to applicants with previous experience teaching categorical data analysis and prior experience teaching graduate students.
Duties: The sessional lecturer will be responsible for the following duties: preparation and delivery of course content; development, administration, and marking of assignments, tests, and exams; calculation and submission of grades; holding regular office hours.
To apply: Please email your CV and CUPE 3902 Unit 3 application form with "MSC1123H Sessional Lecturer" in the subject line to ****** by August 1, 2024.
Closing Date: 08/01/2024, 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 StatementThe University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
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 StatementThe 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 ****** .
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