APTPUO

Health Sciences

APTPUO-PT-Fall2026-HSS2381A

$0–0k Canada PART TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“APTPUO - PT - Fall 2026 - HSS2381A at APTPUO. Skills: statistics, quantitative methodologies, health sciences, teaching. Teach Quantitative Methods in Health Sciences: Continuous Variables (HSS2381). Analysis of continuous variables”

Industry & Context.

Health Sciences
Eligibility Requirements

Employees are required under provincial law to successfully complete all mandatory legislated training., All qualified candidates are encouraged to however, Canadians and permanent residents will be given priority.

What They're Looking For.

Must Have

Masters-level degree in health sciences (or equivalent) in statistics or quantitative methodologies, University-level teaching, Training in health statistics, Training in use of statistical software, Training in health research

What You'll Do.

Teach Quantitative Methods in Health Sciences: Continuous Variables (HSS2381)

Analysis of continuous variables

Application of descriptive and inferential statistics to health data

Use of computer applications to analyze

manage and present scientific data

Emphasis on probability

ANOVA and non-parametric methods

Full Job Description

**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2026 Fall Semester _**Faculty:**_ Faculté des sciences de la santé / Faculty of Health Sciences ** _Academic Unit:_** École interdisciplinaire de sciences de la santé \\\ Interdisciplinary School of Health Sciences _**Course Title:**_ Quantitative Methods in Health Sciences: Continuous Variables _**Course Code:**_ HSS2381 _**Section:**_ A _**Course Description:**_ Introduction to analysis of continuous variables. Applications of both descriptive and inferential statistics to integrative health biosciences, behavioural and clinical data. Use of computer applications to analyze, manage and present scientific data. Emphasis on probability, linear regression, ANOVA and non-parametric methods. Course Component: Laboratory, Lecture The courses HSS 2381, APA 3381, PSY 2106, PSY 2116, MAT 2371, MAT 2375, MAT 2379 cannot be combined for units. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/01 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/05 _**Expected Enrolment:**_ 110 _**Approval date:**_ 2026/05/04 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ C _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ Mardi | Tuesday 19:00-20:30 Lundi | Monday 13:00-14:00 - Schedule 2 is for lab time: Monday from 1:00 PM to 2:00 PM ** _Requirements:_** Faculty Requirements: Masters-level degree in health sciences (or equivalent) in statistics or quantitative met

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