Data Analyst (Hybrid)

The Hospital for Sick Children

The Hospital for Sick Children

IT, Data Science
Toronto, ON, Canada
Posted on Monday, May 22, 2023

We are seeking highly qualified candidates for a Data Analyst position at the Centre for Global Child Health and Research Institute at the Hospital for Sick Children in Toronto, Canada. Under the supervision of the Principal Investigator, the data analyst will become a core member of a research group that aims to contribute knowledge in the field of global child health, infectious diseases and nutrition. The Data Analyst role will primarily involve data quality assessment and monitoring, data analysis, and interpretation of findings related to studies of maternal, fetal and infant health. As a member of the Centre for Global Child and the SickKids Research Institute, the successful applicant will have daily interactions with a dynamic community of researchers and trainees focused on global child health research, capacity-building, and advocacy projects.

Here’s What You’ll Love:

  • A focus on employee wellness with our new Staff Health and Well-being Strategy. Self-care helps us support others.
  • A hospital that welcomes and focuses on Equity, Diversity, and Inclusion.
  • A flexible remote hybrid work environment.
  • The opportunity to make an impact. Regardless of your role or professional interest, you’ll be making a difference at SickKids and contributing to our vision of Healthier Children. A Better World.

Here’s What You’ll Get To Do:

  • Formulation of data analysis plans.
  • Preparation of data summaries for investigator meetings.
  • Data management, cleaning, analysis, and presentation of results in tables and figures, and preparation of manuscripts for submission to peer-reviewed research journals.
  • Literature searches, particularly as required to undertake state-of-the-art data analysis and interpretation.
  • Assist with the preparation of research proposals and grant applications (e.g., sample size calculations and justifications), research ethics board submissions, and study materials (e.g., data collection forms).
  • Assist and mentor students, research assistants, etc. with statistical analyses.
  • Attend relevant meetings, rounds or workshops to increase knowledge and skills.

Here’s What You’ll Need

  • Thesis-based MSc (or other thesis-based graduate degree) in epidemiology or a related area of health research involving quantitative data analysis.
  • Evidence of advanced quantitative health data analysis skills, including coursework and practical experience.
  • Previous direct involvement in the analysis, interpretation and reporting of a clinical or epidemiological research study (evidenced by acknowledgement or co-authorship on published research articles). Co-authorship as the primary data analyst on at least one submitted or published research paper is strongly preferred.
  • Advanced proficiency with a statistical software application (Stata and/or R) and willingness to use Stata.
  • Experience and proficiency with visualization and dashboarding tools (e.g. R Shiny, Tableau) would be an asset.
  • Ability to work independently.
  • Excellent written and oral communication skills.
  • Demonstrated interest in and/or work experience related to global health research would be an asset.
  • Please address the following points in your cover letter (max 1 page total). Applications that do not include these points are unlikely to be considered further:
  • Brief explanation of your reason for applying to this specific position and your experience/training that would prepare you for the role.
  • List of your most relevant graduate-level university courses (i.e., advanced study design or statistical analysis) and your grade in the course.
  • Brief description of your graduate thesis and your direct role in data collection, processing, analysis and interpretation.
  • List of one or more peer-reviewed papers on which you are a co-author, and an explanation of your direct role in data collection, processing, analysis and/or interpretation. Please provide links to published papers.

Employment Type: Temporary, Full-Time (12 month contract with possibility of renewal)