Postdoctoral Fellow: Longitudinal Data Analytics in Biostatistics

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

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

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