Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Sessional Lecturer - MMG3002Y: Biological Statistics - Emergency Posting Job Field: CUPE 3902 Unit 3 Faculty / Division: Temerty Faculty of Medicine Department: Molecular Genetics Campus: St. George (downtown Toronto) Job Posting: August 15, 2024 Job Closing: August 23, 2024, 11:59pm EST Course number and title: MMG3002Y: Biological Statistics This graduate short course is an integral component of the MHSc Medical Genomics program, and is restricted to students enrolled in that program. The course recognizes that the ability to effectively analyze genomic data requires a strong foundation in both bioinformatics and statistics. It begins with an introduction to major computer programing concepts using the R coding language and the UNIX shell. Students are taught statistical theory and perform statistical tests using R to analyze biological datasets. This course focuses on practical knowledge, with interspersed discussions of how genomics integrates into the larger fields of statistics, computer science and applied math. By the end of this course, students will be able to: 1) Use the UNIX shell (command line) and associated concepts and tools. 2) Understand major computer programming concepts. 3) Select and perform appropriate statistical analyses on biological datasets in R. This course is comprised of a combination of lecture, assignment, and testes learning, and will include primarily the assessment of individual work. Estimated TA support: 100 hours Class schedule: Three lectures and one tutorial weekly Sessional dates of appointment: September 1st – December 15th 2024 Salary: $9,457.90 for Sessional Lecturer I; $9,930.79 for Sessional Lecturer I Long Term; $10,121.77 for Sessional Lecturer II; $10,362.76 for Sessional Lecturer III, inclusive of 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. Qualifications: The applicant must hold an advanced degree (PhD) in the field of genetics, genomics, molecular biology, computational biology or biostatistics / bioinformatics. Preference will be given to applicants with some previous teaching experience at the University level. Description of duties: This posting is hiring for a course coordinator and partial instructor for MMG3002Y, which is team-taught with three other instructors. The course is structured as two two-hour lecture/tutorials delivered by instructors, and one two-hour tutorial delivered by teaching assistants each week. The instructor is expected to teach a two - week module in the course on working with big data specifically focused on cluster and cloud computing. The instructor is also expected to prepare for the lectures, tutorials and assignments beforehand based on existing content, and to answer student questions. The candidate is also expected to deliver the introductory lecture on the first day of class, to act as the primary point of contact for students and other instructors throughout the semester, to invigilate the final term test of the semester, and to deliver intermitted extra help sessions for students focused on essentials of the R statistical language outside of class throughout the first half of the semester. The approximate time commitment is ~2-3 hours per week for the weeks when not teaching, and ~6 hours per week when teaching. The course has been taught for five years. The successful applicant will be working with the course materials of the professor who previously taught this course as well as other members of the teaching team, and will have the support of the program directors. A complete course syllabus, course slides, assignments and answer keys / rubrics, and other critical components have already been designed, optimized, and used successfully, and a comprehensive curriculum assessment dossier will also be provided. Modifications to the content will likely be required for use this year. Application Procedure: Applications should include a single PDF with the following components in this order: 1) the CUPE 3902 Unit 3 application form, available at: Please submit the applications electronically to: Dr. Timothy Hughes Professor and Chair, Department of Molecular Genetics 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 ****** . Job Segment: Molecular Biology, Biotech, Scientist, Statistics, Genetics, Science, Data
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