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Sessional Lecturer
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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 – Data Science in Health II
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 to web scraping, working with unstructured data, data cleaning, and data governance, building upon the course Data Science in Health I. The course will emphasize creative approaches to analyzing 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 analyze.
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
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:
1. Selecting and inviting a series of speakers if deemed appropriate.
2. Coordinating student team projects.
3. Meeting with each of the student teams to guide/advise them on their projects.
4. Holding office hours as required.
5. Marking/evaluating; recording student attendance; recording and submitting grades; and communicating with students on course-related matters.
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 - 11:59 PM 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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The 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 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.
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