Statistical Data Analyst
Toronto, Ontario, Canada
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University Health Network
Visit UHN Canada to learn about Canada's number one hospital. Explore our clinics, programs, services, and healthcare research institutes. Find opportunities to join us and make an impact to healthier world.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.
Job Description
Union: Non-Union
Number of vacancies: 1
Site: MaRS
Department: Extracorporeal Life Support (ECLS) Program
Reports to: Medical Director
Hours: 20 hours per week
Shifts: Days
Status: Temporary Part-Time
Closing Date: July 8, 2025
The Statistical Data Analyst will work with the Principal Investigator(s) and key stakeholders to develop, maintain and ensure data quality of databases across a range of strategy activities. The Statistical Data Analyst will also participate in the analysis and interpretation of data and prepare statistical and narrative reports as appropriate. They will be supervised by, and will formally report to, the Principal Investigator(s).
Key Responsibilities:
- Contribute to the Principal Investigator(s)’ objectives by leading initiatives to improve data management practices and procedures
- Create and maintain relational databases (e.g., REDCap with MySQL, PostgreSQL, MSSQL) and prepare tailored data cuts for analysis in R, Python, or other appropriate software
- Develop and review statistical analysis plans together with the Principal Investigator(s)
- Undertake quality control and data manipulation of data prior to analysis
- Perform statistical analysis to support the creation of reports, using R, Python, SAS, or other appropriate software
- Design and prepare draft reports, which include creating tables and charts in R, Quarto, MS Excel, MS Word, and PowerPoint
- Design and prepare dashboards / tailored reports using dashboard and data visualization tools
- Maintain extensive records through up-to-date databases on projects which require analysis for resource planning, quality management and audit information
Qualifications
- Degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative field
- Proficiency in at least one statistical programming language (e.g., R, SAS, Python)
- Hands-on experience in designing, developing, and maintaining relational databases to support large-scale research or data analysis projects
- Proficiency in SQL for querying, managing, and integrating data with statistical workflows (e.g., BigQuery, PostgreSQL). Experience integrating statistical analyses with database systems is highly desirable
- Experience with dashboard creation and data visualization using tools like Shiny or Microsoft Power BI is a plus
- Demonstrated expertise in longitudinal data analysis and causal inference methods (e.g., g-computation, targeted maximum likelihood estimation) is a strong asset
- Excellent analytical thinking and problem-solving skills
- Strong written and verbal communication abilities
- Proven ability to work collaboratively in interdisciplinary and cross-functional teams
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Biostatistics Causal inference Computer Science Data analysis Data management Data quality Data visualization Excel MS SQL MySQL PostgreSQL Power BI Python R RDBMS Research SAS SQL Statistics
Perks/benefits: Career development Flex hours
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