Sessional Lecturer- eMHI2007H - Quantitative Skills in Health Informatics
University of Toronto · CA
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About the Role
This course is designed to provide students with a working knowledge of healthcare data types, governance, privacy, standards, quality, and applied statistical techniques relevant to healthcare settings. Students will review statistical methods used in health research, learn SAS for data analysis, and explore clinical data sciences, focusing on fundamental concepts, related skills, and data analytics techniques like Regex, SQL, and RapidMiner. The aim is for students to gain practical experience in statistical and data analytics techniques for their daily professional tasks.
Responsibilities
- Course co-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.
Requirements
- 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).
Skills
- SAS
- Regex
- SQL
- RapidMiner
- Learning Management Systems (e.g., Quercus)
- PowerPoint
- Blogs
- Wikkis
- Discussion Boards
- Webinars
- Video-conferencing
Location
- Online synchronous
Work Type
- Sessional
- Online synchronous
Experience Level
- Sessional Lecturer I
- Sessional Lecturer I - Long Term
- Sessional Lecturer II
- Sessional Lecturer II - Long Term
- Sessional Lecturer III
- Sessional Lecturer III - Long Term
Education Level
- PhD or Masters level education in Measurement and Evaluation, Statistics or related field
Salary/Compensations
- $9,997.47 - Sessional Lecturer I
- $10,699.21 - Sessional Lecturer I - Long Term
- $10,699.21 - Sessional Lecturer II
- $10,953.96 - Sessional Lecturer II - Long Term
- $10,953.96 - Sessional Lecturer III
- $11,228.90 - Sessional Lecturer III - Long Term
About the Company
- CUPE Local 3902 (Unit 3) Job Posting
- Program: Executive Masters of Health Informatics (eMHI)
- This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
Equal Opportunity
- 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.
- 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.