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Sessional Lecturer MHI2013H - Data Visualization in Health Care

CUPE Local 3902 (Unit 3) Job Posting

 

Sessional Lecturer Position

 

Posting Date: May 2, 2025

 

Program: Master of Health Informatics (MHI)

 

Sessional Dates of Appointment: Fall 2025, September to December

 

Course Title: MHI2013H - Data Visualization in Health Care

 

Course Description:

 

A picture is worth a thousand words. Shear amount digital information collected in healthcare brings opportunities and challenges at the same time. Decision-makers are challenged to take timely actions with this data yet are not equipped with required tools to help them in this process. Proper visualization of data empowers them in this task.

 

In this course, we will introduce the foundation concepts of data visualization such as proper use of different graphs. The course will cover the complete life-cycle of data visualization including requirement analysis, data preparation, graphing, validation and sustainability plan. We also cover both best practices and latest trends such as interactivity, story-telling and visual analytics that currently drive the demand in the market. It will include hands-on exercises using the best BI tools as identified by the Gartner’s Magic Quadrant and group activities to augment kinesthetic learning.

 

Objectives:
 

After successful completion of this course, the students will be able to identify the requirements for answering a specific question in healthcare, graphically representing the evidence with a proposed action plan in an engaging story-based format that is simple, appealing, timely and sustainable to derive best decisions

 

Course Details:

 

Class schedule: Online Sessions

Estimated enrolment: 40

Estimated TA support: based on enrolment – None

 

Qualifications:

  • PhD or Masters level education in health informatics or related field;
  • A robust understanding of data visualization in health informatics and/or health management;
  • Experience in information management and data analytics in a health care setting;
  • Experience teaching graduate-level courses, preferably in health informatics;
  • Demonstrated ability to relate to mature students and facilitate group learning processes;
  • Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), 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 delivery and assessment of student outcomes. Must be accessible to students outside of class hours.

 

Salary: Commensurate with experience and qualifications

 

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

 

Closing Date: May 22, 2025

 

 

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

 

Candidates who are members of Indigenous. Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position

 

 

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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