Sessional Lecturer MHI1001H - Information and Communication Technology for Health Care

University of Toronto; Toronto; On-site; CAD 60,000 - 100,000; Part time

Job summary

An established educational institution is seeking a Sessional Lecturer to teach a course on Information and Communication Technology for Health Care. This role involves guiding students through the foundational concepts of digital health systems, including cloud computing and cybersecurity. The ideal candidate will have advanced qualifications in Health Informatics or a related field, with a strong emphasis on practical applications and interdisciplinary learning. Join a vibrant academic community that values diversity and inclusion, and contribute to shaping the future of healthcare education through innovative teaching methods and real-world case studies.

Benefits

Flexible hours

Professional development opportunities

Access to university resources

Networking opportunities

Qualifications

• Graduate-level training in Health Informatics or related field is required.
• Experience teaching or mentoring at the graduate level is essential.

Responsibilities

• Course instructor for a professional graduate course with competency-based learning.
• Must be accessible to students outside of classroom hours.

Skills

Cloud Computing

APIs

Cybersecurity

Artificial Intelligence

Machine Learning

Education

Master's in Health Informatics

PhD in related field

Tools

Quercus

Miro

Slack

GitHub

Zoom

Job description

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Sessional Lecturer MHI1001H - Information and Communication Technology for Health Care

CUPE Local 3902 (Unit 3) Job Posting

Posting Date: May 2, 2025

Program: Master of Health Informatics (MHI)

Sessional Dates of Appointment: Fall 2025, September to December

Course Title: MHI1001H - Information and Communication Technology for Health Care

Course Description (Updated)

This course introduces the foundational concepts of digital infrastructure in healthcare, tailored for students from health sciences backgrounds with limited formal experience in information technology. Through hands-on learning and real-world case studies, students will explore the digital building blocks that enable modern healthcare delivery.

Topics will include cloud computing, APIs, HL7 FHIR interoperability standards, cybersecurity and privacy in healthcare, artificial intelligence and machine learning basics, and the role of modern user interfaces in health applications. The course emphasizes practical understanding of how these technologies underpin digital health systems and enable innovation in care delivery, data sharing, and patient empowerment.

Learning Objectives (Updated)

By the end of the course, students will be able to:

• Describe how cloud platforms and modern APIs enable secure, scalable health service delivery.
• Engage in informed discussions about the architecture of emerging digital health tools (e.g., virtual care platforms, AI-enabled clinical decision support).
• Apply system modeling techniques to propose and critique ICT-enabled healthcare workflows.
• Assess the benefits and risks of interoperability, privacy, and security mechanisms in real-world healthcare settings.
• Use common digital health tools and standards, including FHIR and SNOMED CT, to explore system design.

Instructor Qualifications (Updated)

• Graduate-level training (Master’s or PhD) in Health Informatics, Computer Science, Biomedical Informatics, or a related field.
• Demonstrated expertise in one or more of the following: digital health system architecture, healthcare data standards (e.g., HL7 FHIR, SNOMED CT), cybersecurity, or AI in health applications.
• Experience teaching or mentoring at the graduate level, with a focus on interdisciplinary learning.
• Familiarity with modern teaching methods, including flipped classrooms, digital labs, and real-time collaboration platforms (e.g., Miro, Slack, GitHub, or Zoom breakout activities).
• Proficiency with digital learning environments (e.g., Quercus or other LMS platforms), and creating interactive, media-rich content.

Duties:

• Course instructor for a professional graduate course using competency-based learning and assessment methods.
• Must be accessible to students outside of classroom hours.

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 aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 [e-mail] .