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Post Doctoral Researcher in Infectious Disease Modelling

Sei unter den ersten Bewerbenden.
University Health Network
Toronto
CAD 70.000 - 90.000
Sei unter den ersten Bewerbenden.
Vor 3 Tagen
Jobbeschreibung

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 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 UHNs 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.

    Remote Work : Employment Type :

    Full-time

    Key Skills

    Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills

    Experience : years

    Vacancy : 1

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