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Sessional Lecturer -BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery

Date Posted: March 25th, 2025

Closing Date: April 21st, 2025 - 11:59 PM EST
Req ID: 36421
Faculty/Division:  School of Graduate Studies
Department: Master of Biotechnology Program
Campus: UTM - University of Toronto Mississauga

Course Number and Title: BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery

Course Description:


This engaging and comprehensive course explores the fascinating structural biology and drug discovery fields. Specifically designed for students eager to delve into advanced concepts, it addresses essential topics such as integrating AI in structural biology, data analysis techniques for drug discovery, and practical applications of AI in the pharmaceutical industry. 

Students will gain practical experience with programming tools, AI applications, and insights into molecular dynamics and simulations. The curriculum focuses on emerging trends and future directions in these rapidly evolving fields. Students will develop a strong understanding of AI's transformative role in structural biology and drug discovery through lectures and practical exercises. (further course details can be emailed by request)

 

Estimated course enrolment: 42

Estimated TA support: 42

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 2025)

Sessional Dates of Appointment: July 12th - August 28 th, 2025

Salary: $17,267.74 (includes 4% vacation pay)

 

Minimum Qualifications: A PhD and teaching experience is preferred, ideally in bioinformatics, with familiarity with biostatistics tools, protein folding, and AI tools in biology and structural biology and an understanding of how future AI tools might unfold in biotechnology and drug discovery.

Preferred Qualifications:  Same as minimum qualifications.

 

Description of Duties:  All regular duties related to the design, teaching and delivery of a university credit course, including:
Coordinating student team presentations, meeting with each student team to guide/advise them on their presentations as needed, and holding office hours as required.Marking/evaluating the BTC1730H student presentations and final examination; recording student attendance; registering and submitting grades; and communicating with students on course-related matters.

 

 

 

 

Application Procedure:

  1. Download and fill out the General Application Form from the IMI Employment website.
  2. Submit the completed application form and your CV to ortensia.qendro@utoronto.ca, MBiotech, UTM.  Include: ‘BTC1730H SL Application’ in the subject line.

 

Closing Date: 04/21/2025, 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 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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