Sessional Lecturer-MHI2007H – Quantitative Skills in Health Informatics

University of Toronto

Job title:

Sessional Lecturer-MHI2007H – Quantitative Skills in Health Informatics

Company

University of Toronto

Job description

CUPE Local 3902 (Unit 3) Job PostingSessional Lecturer PositionPosting Date: June 24, 2024Program: Master of Health Informatics (MHI) and Executive Master of Health Informatics (eMHI)Sessional dates of appointment: Fall 2024, September to DecemberCourse Title: MHI2007H – Quantitative Skills in Health InformaticsCourse 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, RapidMiner).The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.Objective:The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.Course Details:Class schedule: ModularEstimated enrolment: 70Estimated TA support: based on enrolment – NoneQualifications:

  • 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:

  • 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.

Salary: Commensurate with experience and qualificationsHow to submit an application: Please send your CV and cover letter, outlining additional value you will bring to teaching the course via e-mail to and [email protected]Closing date: Friday, July 18, 2024This 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 StatementThe 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 .Accessibility StatementThe 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 .

Expected salary

Location

Toronto, ON

Job date

Wed, 26 Jun 2024 07:56:28 GMT

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