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Research Assistant (SRI) - Sunnybrook Research Institute - Casual 2026-17984 (2026-17984)

Offre en anglais

The role involves conducting literature reviews and collecting, organizing, and analyzing both qualitative and quantitative data. The assistant will also prepare research reports and maintain accurate documentation to meet project objectives.

  • Sur place
  • Toronto, ON
  • Publié 25 août 2026
  • Postuler avant le 24 sept. 2026
  • 1 poste

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Résumé du poste

Key Responsibilities Conduct literature searches and reviews using various academic and industry databases Collect, organize, and analyze qualitative and quantitative data Assist in designing surveys, experiments, or data collection instruments Prepare summaries, reports, and presentations of research findings Maintain accurate documentation and research records Collaborate with team members to ensure research objectives are met Perform administrative tasks related to research projects as needed Qualifications Bachelor’s degree or equivalent experience (preferred) Strong research and analytical skills Proficiency with research tools and databases (e.g., Google Scholar, PubMed, JSTOR) Experience with data analysis software (e.g., Excel, SPSS, R, Python) is a plus Excellent written and verbal communication skills Detail-oriented with strong organizational skills Ability to work independently and as part of a team Time management skills with the ability to meet deadlines

Ce que vous ferez

The role involves conducting literature reviews and collecting, organizing, and analyzing both qualitative and quantitative data. The assistant will also prepare research reports and maintain accurate documentation to meet project objectives.

Exigences

A bachelor's degree or equivalent experience is preferred, along with strong analytical skills and proficiency in research databases. Experience with data analysis software like SPSS, R, or Python is considered an asset.

Compétences indiquées

  • Gestion du tempsSouhaitée
  • Microsoft ExcelSouhaitée
  • CommunicationSouhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Literature Search
  • Data Collection
  • Qualitative Analysis
  • Quantitative Analysis
  • Survey Design
  • Report Writing
  • Documentation
  • Google Scholar
  • PubMed
  • JSTOR
  • Excel
  • SPSS
  • R
  • Python
  • Time Management
  • Communication

Domaines d’emploi

  • Science & Research
  • Healthcare
  • Data & Analytics

Renseignements supplémentaires

Formation minimale
Baccalauréat
Expérience minimale
0+ ans
Postuler avant le
24 sept. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Entry level