Research Assistant 1

McGill UniversityMontreal, QC
Onsite

About The Position

This position is for a Research Assistant 1 within the Tulip Lab in the Department of Psychology at McGill University. The role involves following and refining study protocols to ensure ethical and high-quality data collection, managing research ethics board submissions, preparing reports for the Data Safety Monitoring Board, overseeing participant scheduling and communication, ensuring participants complete study components correctly, reviewing screening data, monitoring and cleaning data, and engaging in literature reviews. The position requires proficiency with Microsoft Excel and experience with psychological research coordination and leading a team. McGill University is an English-language institution requiring English communication skills. The university is committed to equity and diversity and encourages applications from designated groups.

Requirements

  • Honours undergraduate degree in psychology or equivalent
  • Experience with psychological research coordination
  • Experience with leading a team
  • Proficiency with Microsoft excel
  • Authorized to work in Canada
  • Willing to work in the province of Quebec
  • English communication both verbally and in writing

Responsibilities

  • Follow and refine study protocols that ensure ethical and high-quality collection of study data within the Tulip Lab.
  • Manage and prepare research ethics board submissions; track and assist in the reporting of ethics-related issues; engage with ethics amendments.
  • Prepare reports for the Data Safety Monitoring Board, Inc. adverse event reporting and protocol deviations.
  • Oversee the scheduling of assessment appointments for study participants, including corresponding with prospective and actual study participants and ensuring compensation of actual study participants.
  • Ensure participants complete study components in methodologically correct ways.
  • Assist with reviewing screening data for prospective study participants.
  • Monitor data quality and engage in data cleaning and preparation.
  • Engage with literature reviews.
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