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Biostatistician I

UniversityHealthNetwork

Toronto, ON, Canada Hybrid permanent

Posted: February 5, 2026

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Quick Summary

Biostatistician I at UHN is responsible for analyzing and interpreting complex medical data to inform clinical decision-making and improve patient outcomes.

Job 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 

Union: Non-Union

Number of Vacancies: 1

New or Replacement: Replacement

Site: Toronto General Hospital

Department: PMCC Research

Reports to: Manager, Analytics Team

Hours: 37.5 hours per week

Salary: $78,954 to $118,424 annually

Shifts: Monday to Friday

Status: Temporary Full-time 20 month contract, with potential to extended 

Closing Date: February 11, 2026

Position Summary:

The Ted Rogers Centre for Heart Research is a collaborative research and education program that spans across UHN, the Hospital for Sick Children and the University of Toronto. It seeks to provide the world with new diagnoses, treatments, and tools to help people prevent, manage, and survive the devastating consequences of heart failure. It also provides global leadership in the cardiac field and offers multiple research and clinical educational opportunities and training. As part of this Centre, the Ted Rogers Computational Program (TRCP) is a biostatistics, data management and quality assurance team with deep expertise in cardiac pathologies.

Reporting to the TRCP Analytics Team Manager, the Biostatistician I will collaborate with a diverse group of scientists, clinician scientists, trainees, clinical research professionals and fellow analytics staff to design and execute statistical analysis plans for clinical research studies and quality improvement projects across various cardiovascular pathologies and interventions

Duties:

• Providing data management and statistical support during the design, execution and reporting phases of clinical research projects
• Using statistical methods to achieve research objectives by executing study protocols and data analysis plans
• Addressing data issues
• Participating in the generation of statistical analyses and interpretations in study reports
• Disseminating results of the analyses for internal and external review, including reports, graphs, tables and interpretation
• Preparing abstract, presentation and manuscripts for conferences and for submission to peer­ reviewed journals
• Attending relevant meetings, trainings, courses or workshops as required
• Providing students and trainees with data management training, statistical consultation and analytic supports.

• MSc degree in statistics, biostatistics, clinical epidemiology or equivalent
• 1 year of related experience is required (or PhD)
• Experience using statistical analysis and data management software applications required, either SAS or the R language and R Markdown
• Experience in a collaborative clinical research environment, experience may include co-op, practicum, internship or employed positions, experience in a consulting biostatistics team an asset
• Experience applying statistical methods (e.g. evidenced by course work and practical experience), which may include regression modelling strategies in cross-sectional, longitudinal studies and/or clinical outcome research
• Demonstrated competency in managing and analyzing real-world clinical data
• Familiarity with time-to-event analysis and clinical predictive models
• Familiarity in the methods of missing data
• Excellent written and oral communication skills
• Proven ability to work with students/staff with limited statistics knowledge an asset
• Content expertise on cardiovascular disease preffered

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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