Sessional Lecturer-MHI2007H - Quantitative Skills in Health Informatics
at University of Toronto
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Jul, 2024 | Not Specified | 25 Jun, 2024 | N/A | Blogs,Powerpoint,Design,Video Conferencing,Research Projects,Health Informatics,Learning Management Systems,Statistics,Collaboration Tools | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
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, RapidMiner).
The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.
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).
Responsibilities:
- 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 qualifications
How 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 ihpme.appointments@utoronto.ca and ihpme.mhi.program@utoronto.ca
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Education, Teaching
Graduate
Statistics
Proficient
1
Toronto, ON, Canada