Course Lecturer EPIB 613-003

Hiring Unit: Department of Epidemiology, Biostatistics and Occupational Health

Title, subject code and term of the Course:
-    Introduction to Statistical Software
-    EPIB 613-003
-    Fall 2021

Course Description: Introduction to statistical software and data management; including basics of entering, manipulating data and elementary statistical analysis, SAS software, with reference to other packages of potential interest to students (R, Stata, SPSS).

Credits: 1

The location where the Course is given: EDUC 539 - Please refer to the disclaimer & note that applicants should be aware that courses will be offered in-line with government directives in lieu of the current COVID-19 pandemic. 

The schedule and the time:
-    September 1, 2021 – December 6, 2021
-    Tuesday, 10:05 am-11:15 am

Teaching Qualification Requirements:
Education: PhD students in Epidemiology or Biostatistics, or completed PhD in epidemiology or Biostatistics.
Experience: Training and experience of data management and analysis in R and Stata, training and understanding of basic study design in epidemiology, understanding of basic concepts of statistical analysis in epidemiological studies from descriptive statistics to multivariable analysis. 

This course will be a time commitment of 13 hours per section.

Disclaimer:

Please note that given the planned resumption of in-person teaching activities, most courses will be taught in person. Exams may however need to be administered remotely depending, mainly on the size of the class. Course Lecturers will be required to plan accordingly. Should government restrictions prohibit the resumption of in person teaching, courses will revert to remote teaching. In the event of such a change, Course Lecturers will be advised without delay. Course Lecturers may be required to prepare and deliver teaching material suited to a remote/online teaching environment using a virtual learning platform [e.g., Zoom, WebEx] and the McGill myCourses learning management system. Training and assistance on remote teaching is available through Teaching and Learning Services (TLS) . Course Lecturers are encouraged to record their lectures.

Veuillez noter qu’en raison de la reprise prévue des activités d’enseignement en personne, la plupart des cours seront offerts en format présentiel. Il se peut toutefois que les étudiants doivent passer leurs examens à distance en fonction principalement de la taille des classes. Les chargés de cours devront planifier en conséquence. Si les restrictions gouvernementales interdisent la reprise de l'enseignement en personne, les cours reviendront à l'enseignement à distance. Dans l'éventualité d'un tel changement, les chargés de cours en seront informés sans délai. Les chargés de cours peuvent être appelés à préparer et à présenter du matériel didactique adapté à un environnement d'enseignement à distance/en ligne en utilisant une plateforme d'apprentissage virtuelle (p. ex., Zoom, WebEx) et myCourses, le système de gestion de l'apprentissage de McGill. Les Services d’enseignement et d’apprentissage (TLS) offrent de la formation et de l’assistance en matière d’enseignement à distance. Les chargés de cours sont encouragés à enregistrer leurs cours.

Hiring Unit:

Department of Epidemiology, Biostatistics and Occupational Health

Course Title:

Introduction to Statistical Software

Subject Code:

EPIB 613-003

Location:

Purvis Hall

Schedule:

Friday

Deadline to Apply:

07/17/2021

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected] or 514-398-3711.