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Postdoctoral Research Fellow, CHES

Job in Toronto, Ontario, C6A, Canada
Listing for: The Hospital for Sick Children
Full Time, Seasonal/Temporary position
Listed on 2026-10-06
Job specializations:
  • Research/Development
    Clinical Research, Research Scientist, Pediatric Care
  • Healthcare
    Clinical Research, Pediatric Care
Salary/Wage Range or Industry Benchmark: 55000 - 70000 CAD Yearly CAD 55000.00 70000.00 YEAR
Job Description & How to Apply Below

Dedicated exclusively to children and their families, The Hospital for Sick Children (Sick Kids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day.

Sick Kids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join Sick Kids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World.

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.

Postdoctoral fellowship with at the Hospital for Sick Children

Dr Pullenayegum's research group is part of the Research Institute at the Hospital for Sick Children in Toronto. We are housed in the Peter Gilgan Centre for Research and Learning, designed specifically to foster collaboration. You will work alongside researchers from diverse fields (clinical epidemiology, health economics, haemotology, paediatric rheumatology, amongst others), thus allowing you to discover the statistical challenges that these researchers experience and to foster cross-disciplinary communication skills.

Here's

What You'll Get To Do
  • Develop methods for analysing longitudinal data subject to irregular observation;
  • Assist in developing software packages for irregular longitudinal data;
  • Write papers on the methods you develop;
  • Participate in national conferences;
  • Work in a vibrant research environment
Here's What You'll Need
  • Completed a PhD in statistics or biostatistics;
  • Understanding and experience with parametric survival analysis;
  • Interest in longitudinal data analysis;
  • Sufficient R programming skills to write a software package;
  • Ability to write manuscripts suitable for peer-reviewed publication;
  • A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives;
  • Willingness to relocate to Ontario and meet in person on a weekly basis.
Employment Type:
Full-time temporary 1 year contract, 1.0 FTE

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