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Sessional Lecturer- eMHI2002H Emergent Topics in Health Informatics:

CUPE Local 3902 (Unit 3) Job Posting

 

Sessional Lecturer Position

 

Posting Date: February 9, 2026

Program: Executive Master of Health Informatics (eMHI)  


Sessional Dates of Appointment: Summer 2026, May to June 

Existing Vacancy: Yes  

Course Title: eMHI2002H Emergent Topics in Health Informatics: Intelligent Medicine, Machine Learning and Knowledge Representation

Course Description:

 

This course is designed for students to understand the issues associated with the use of data management technology and analytics solutions in the healthcare system. This includes systems and technologies used to generate, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related to delivery of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry that are driving the use of data, will be reviewed, including population health management, clinical decision support, and advanced research. The goal is for students to be able to gain experience in the description, architecture and implementation planning of data infrastructure in the healthcare system along with providing a strong foundation in regard to analytics lifecycle and methods. 

 

Objectives:  

 

Students will enhance abilities to: 

  • Describe and conceptualize data infrastructure used in the healthcare system, including classical and non-classical sources of data and the technologies and methods used to harvest and store clinical data. 
  • Utilize statistical and machine learning tools to create and validate predictive models and present analytics results using visualization tools. 
  • Identify and problem-solve the organizational, clinical and ethical implementation challenges associated with predictive algorithms in healthcare. 
  • Gain the ability to position data management and advanced analytics in the context of health system challenges and business models. 

 

Course Details: 

 

Class schedule: Modular sessions from 5-9 pm on Thursdays and 1-5 pm on Fridays between May 8, 2026, and June 12, 2026.  

 

Delivery mode: Online 

 

Estimated enrolment: 50

Estimated TA support: N/A

 

Qualifications: 


  • A PhD or Masters level education with recent experience in clinical and health informatics, preferably in the areas of ICT adoption, implementation, and evaluation; 
  • A robust understanding of clinical/clinician work processes, as influenced by health informatics and related technology; 
  • Past teaching experience related to health informatics, preferably at the graduate level; 
  • Prior experience in curriculum development and adult teaching-learning methods; 
  • Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Blackboard), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing). 



Duties: 

  • Course instructor for a professional graduate course using competency-based learning and assessment methods. 

  • Responsible for course design and assessment of student outcomes. Must be accessible to students outside of classroom hours. 

 

 Course Description Details: https://ihpme.utoronto.ca/course/mhi2002h/ 

 

Salary: 
 
$9,820.70 - Sessional Lecturer I  
$10,510.04 - Sessional Lecturer I - Long Term  
$10,510.04 - Sessional Lecturer II   
$10,760.28 - Sessional Lecturer II - Long Term  
$10,760.28 - Sessional Lecturer III  
$11,030.36 - Sessional Lecturer III - Long Term   
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.   

 

Application: Please send your CV and cover letter, outlining additional value you will bring to teaching the course via e-mail to ihpme.cupe.unit3@utoronto.ca  

 

Closing Date: March 2, 2026  

 

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.  

 

 

 

 

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.


Job Segment: Medical, Informatics, Public Health, Data Management, Curriculum Development, Healthcare, Technology, Data, Education

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