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APEUO-ATPUO_ Hiver 2027_NUT3509 A

French posting
  • Ottawa, ON
  • Hybrid
  • Posted Sep 28, 2026
  • 1 position

$239 / hour

Opens an external site

Employment type
Part-time
Experience level
Mid-level · 2+ years
Minimum education
Master’s degree
Apply by
Oct 26, 2026
Posting language
French
Working hours
39 hours per week
Office presence
1 days per week

Job summary

The professor will teach the course 'Applied Research Methods in Nutrition', covering data collection, statistical analysis, and knowledge mobilization. They are also responsible for guiding students in the development of a team-based nutrition research project.

Job details

Posting Reason: New Position Location: 200 Lees - FHS Academic Period: 2027 Winter Semester Faculty: Faculté des sciences de la santé / Faculty of Health Sciences Academic Unit: École des sciences de la nutrition \\ School of Nutrition Sciences Course Title: Méthodes de recherche appliquées en nutrition Course Code: NUT3509 Section: M Course Description: Application des concepts de la recherche en nutrition : collecte et gestion des données, analyses statistiques, interprétation et mobilisation des connaissances. Élaboration d'un projet de recherche en équipe en nutrition. Volet : Cours magistral Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/08/22 Applications must be received BEFORE (YYYY/MM/DD): 2026/10/26 Expected Enrolment: 40 Approval date: 2026/09/25 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: B Posting type: Régulier / Regular Language of instruction: Français | French Competence in second language: Passive Course Schedule: Lundi | Monday 17:30-20:30 - - Requirements: Exigences requises : Maîtrise en sciences de la vie, de la santé, en statistiques, en méthodologies qualitatives ou équivalent*. Formation dans les domaines suivants: biostatistiques, utilisation de logiciels statistiques, recherche en nutrition ou en santé. Expérience récente d'enseignement universitaire. * La personne candidate doit clairement démontrer dans son CV la pertinence de sa formation académique par rapport à la matière du cours. Mode d'enseignement : Hybride - Campus Lees / Type « B » : cours avec travaux ou examens qui ne peuvent être corrigés par ordinateur. Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

What you’ll do

The professor will teach the course 'Applied Research Methods in Nutrition', covering data collection, statistical analysis, and knowledge mobilization. They are also responsible for guiding students in the development of a team-based nutrition research project.

Requirements

Candidates must hold a Master's degree in life sciences, health sciences, statistics, or qualitative methodologies. Recent university teaching experience and proficiency in biostatistics and statistical software are required.

Listed skills

  • Qualitative research · Preferred
  • data management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Nutrition research
  • Data collection
  • Data management
  • Statistical analysis
  • Knowledge mobilization
  • University teaching
  • Biostatistics
  • Statistical software
  • Research methodology
  • Qualitative research
  • Statistical Analysis
  • Course Management
  • Research
  • Data Analysis
  • Teaching
  • Data Collection
  • Data Management
  • Health Sciences
  • Higher Education
  • Life Sciences
  • Research Methodologies
  • Qualitative Research
  • Statistical Software
  • Statistics

Job areas

  • Education
  • Science & Research
  • Healthcare
  • Unclassified
  • Statistics Professor
  • University and Higher Education Teachers
  • Mathematical Science Teachers, Postsecondary
  • Postsecondary Teachers