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: September 5, 202Program: Master of Health Informatics (MHI)Sessional dates of appointment: Winter 2025, January – AprilCourse 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: 60Estimated 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: September 25, 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.
Expected salary
Location
Toronto, ON
Job date
Fri, 06 Sep 2024 22:39:38 GMT
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