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Sessional Lecturer- MHI- Quantitative Skills in Health Informatics

Job in Toronto, Ontario, C6A, Canada
Listing for: University of Toronto
Seasonal/Temporary position
Listed on 2026-09-23
Job specializations:
  • Education / Teaching
    University Professor, Academic, College Lecturer
Salary/Wage Range or Industry Benchmark: 60000 - 90000 CAD Yearly CAD 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Sessional Lecturer- MHI2007H - Quantitative Skills in Health Informatics

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Sessional Lecturer- MHI
2007H - Quantitative Skills in Health Informatics CUPE Local 3902 (Unit
3) Job Posting

Posting Date:
September 21, 2026

Program:
Masters of Health Informatics (MHI)

Sessional Dates of Appointment:
Winter 2027, January – April
Existing Vacancy:
Yes

Course

Title:

eMHI
2007H – Quantitative Skills in Health Informatics

Course

Description:

This course is designed to give students a working knowledge of different types of data in healthcare, health data governance, data privacy, data standards, data quality, and selected applied statistical techniques relevant to healthcare settings. Through this course, students will review common statistical methods used in health research and get familiarized with using SAS to implement these methods for data analysis.

In addition, students will learn about clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual understanding of data analytics techniques (Regex, SQL, Rapid Miner).

The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.

Objectives:

  • The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.

Class schedule:
Weekly sessions from 5:10 pm to 7 pm on Tuesdays between January 12 and April 20, 2027.

Delivery mode:
In-person

Qualifications:

  • PhD or Masters level education in Measurement and Evaluation, Statistics or related field;
  • Demonstrated experience conducting research projects requiring quantitative, qualitative and mixed research methodology;
  • Experience in design and implementation of data collection instruments and effective methods for communicating research results;
  • Experience teaching graduate-level courses, preferably in research methodology and/or statistics related field;
  • 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:

  • Courseco-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.

Please note that should rates stipulated in the collective agreement vary from ratesstatedin this posting,the ratesstatedin the collective agreement shall prevail.

Closing Date:
October 12, 2026

This job is postedin accordance withthe 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.

Preferenceinhiringisgiventoqualifiedindividualsadvancedto therankof

Sessional

Lecturer II orSessional

Lecturer IIIinaccordancewith Article
14:12oftheCUPE
3902

Unit3collectiveagreement.

Please note:

Undergraduateorgraduatestudentsandpostdoctoralfellowsofthe Universityof Torontoarecoveredby  theCUPE
3902

Unit1collectiveagreementrather thanthe

Unit3collectiveagreement,andshouldnotapplyforpositionspostedunderthe

Unit3collectiveagreement.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture 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…

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