Postdoctoral Research Fellow, CHES

The Hospital for Sick Children

Toronto

On-site

CAD 55,000 - 70,000

Full time

14 days+
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Job summary

The Hospital for Sick Children in Toronto is seeking a Postdoctoral fellow to join Dr Pullenayegum's research group in the Peter Gilgan Centre for Research and Learning. You will analyse longitudinal data, develop software for irregular data, and contribute to peer‑reviewed publications.

You will collaborate with researchers across clinical epidemiology, health economics, haematology and paediatric rheumatology, presenting work at national conferences and advancing equity, diversity and

Qualifications

  • PhD in statistics or biostatistics required.
  • Experience with parametric survival analysis and longitudinal data.
  • Strong R programming skills to develop software.
  • Ability to write manuscripts for peer‑reviewed publication.
  • Commitment to equity, diversity and inclusion objectives.
  • Willingness to relocate to Ontario and work in person weekly.

Responsibilities

  • 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

Skills

parametric survival analysis
longitudinal data analysis
manuscripts writing
equity, diversity and inclusion

Education

PhD in statistics or biostatistics

Tools

R programming

Job description

Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) 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. SickKids 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 SickKids, 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

All positions posted on the SickKids Hospital's Careers Site represent current vacancies, unless otherwise posted in the job description.

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