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Post-Doctoral Clinical Research Fellow, Division of Endocrinology

Job in Toronto, Ontario, C6A, Canada
Listing for: The Hospital for Sick Children
Full Time position
Listed on 2026-09-23
Job specializations:
  • Research/Development
    Clinical Research, Research Scientist, Data Scientist
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.
Position Title  Postdoctoral Fellow - Clinical Data Science and Outcomes Research in Pediatric Diabetes
Position Location  Division of Endocrinology
The Hospital for Sick Children (Sick Kids), Toronto, Ontario, Canada

Employment Type

Temporary Full-Time (1.0 FTE), one-year appointment with the possibility of renewal, contingent upon performance and funding availability.
Work Type  First 3 months on-site. After 3 month time period work type will be hybrid.
The research program of Dr. Farid Mahmud, Scientist and Pediatric Endocrinologist at The Hospital for Sick Children (Sick Kids) and Professor at the University of Toronto, is seeking a highly motivated Postdoctoral Fellow to join a recognized pediatric diabetes research program focused on improving outcomes for children, adolescents, and young adults living with type 1 diabetes.
Research Focus   Cardiovascular and kidney complications of diabetes
Novel therapies, technologies, and lifestyle interventions
Social, environmental, biologic, and socioeconomic determinants of health
Precision medicine approach to diabetes care
Long-term outcomes in children, adolescents, and young adults living with diabetes

Position Overview  The Postdoctoral Fellow will join a multidisciplinary pediatric diabetes research program focused on clinical outcomes, complications, precision medicine, and population health. The successful candidate will lead the harmonization and analysis of large longitudinal research datasets, develop novel research questions, and drive scientific productivity through first-author publications, conference presentations, and grant-supported research initiatives. Working closely with investigators, research staff, statisticians, trainees, and collaborators, the Fellow will contribute to a high-impact research agenda focused on improving outcomes for youth living with diabetes.

Key Responsibilities   Harmonize, curate, validate, and manage complex longitudinal research datasets.
Develop integrated research databases and analytic resources.
Generate novel scientific hypotheses and lead associated research projects.
Conduct advanced statistical analyses using clinical, observational, and cohort data.
Lead manuscript preparation and publication as first author in peer-reviewed journals.
Present research findings at national and international scientific meetings.
Contribute to grant applications, study protocols, and future research initiatives.
Collaborate with multidisciplinary investigators and international research partners.
Mentor students and trainees within the research program.
Qualifications Required   PhD, MD, MD/PhD, or equivalent doctoral degree in Epidemiology, Biostatistics, Public Health, Data Science, Clinical Research, Health Sciences, or a related discipline.
Strong experience managing and analyzing large…
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