Post Doctoral Researcher in Infectious Disease Modelling

Toronto, ON, Canada

University Health Network

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Company Description

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. 

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. 

www.uhn.ca 

Job Description

Union: Non-Union 
Number of vacancies:  1
Site: Toronto General Hospital
Department:  Research
Reports to:  Senior Scientist
Hours: 37.5 hours per week
Shifts: Monday to Friday
Status: Temporary Full-Time
Closing Date: July 18, 2025

The Collaborative Centre for Health Systems & Policy Research at the University Health Network in Toronto is inviting applications for a Postdoctoral Fellow in the areas of mathematical modelling of respiratory syncytial virus (RSV). The successful candidate will lead a major role in the development of a spatially structured (metapopulation) mathematical model to be used to investigate the impact of new RSV immunization products for infants. The candidate will be part of a multi-disciplinary team, including investigators and knowledge users from academic, applied, and governmental organizations across Canada. The candidate will primarily work with two co-PIs located at UHN and Public Health Ontario.

The selected candidate would be responsible for the;

  • Development of a new metapopulation model for RSV
  • Conduct analyses of empiric data (e.g., census) to inform development of spatial model
  • Review and validate different approaches and existing models
  • Analyze, interpret, and summarize results
  • Publish research findings in scientific journals and present them at scientific meetings

Qualifications

  • Demonstrated experience in the mathematical modelling of infectious diseases
  • Completed Ph.D. in relevant field (e.g., applied mathematics, epidemiology, or other quantitative fields)
  • Relevant knowledge and experience with programming (e.g., R, Python)
  • Evidence of independent and leading research roles, including publications in high-impact journals
  • Ability to work well in team environments with great interpersonal skills
  • High degree of initiative and independence
  • Excellent written and verbal communication
  • Familiarity with spatial models and/or metapopulation models; Statistics Canada Research Data Centers; and RSV are not required but would be assets

Additional Information

Why join UHN?
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

  • Competitive offer packages
  • Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
  • Close access to Transit and UHN shuttle service
  • A flexible work environment
  • Opportunities for development and promotions within a large organization
  • Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Mathematics Python R Research Statistics

Perks/benefits: Career development Flex hours Health care

Region: North America
Country: Canada

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