Biostatistician II (Senior Biostatistician)

Company Description

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world. 

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.

Job Description

Union: Non-Union
Site: Toronto General Hospital
Department: PMCC Research
Reports to: Senior Manager, Research
Work Model: Hybrid
Grade: N0:10
Hours: 37.5 hours per week
Salary: $86,600 - $105,000 annually
Shifts: Monday to Friday
Status: Temporary Full-time 1 year contract, with potential to extended 
Closing Date: December 2, 2024

Position Summary:
Reporting to the TRCP Analytics Team Lead, the Biostatistician II 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.

Qualifications

• Master's degree in Statistics, Biostatistics, Clinical Epidemiology, or related field
• Ph.D. preferred
• 4 years of relevant experience (waived for Ph.D. holders)
• Advanced proficiency in R programming and R Markdown
• Strong background in statistical methods, including:
  • Regression modeling for cross-sectional and longitudinal studies
  • Clinical outcomes research
  • Missing data methodology
  • Real-world clinical data analysis
  • Time-to-event (survival) analysis
• Experience with version control (Git/GitHub) an asset
• Knowledge of REDCap for data collection and management an asset
• Experience writing Statistical Analysis Plans (SAPs) an asset
• Machine learning methods and their clinical applications an asset
• Statistical power analysis and study design expertise an asset
• Working knowledge of SAS or Python an asset
• Proven experience in clinical research settings (co-op, practicum, internship, or employment)
• Experience working in biostatistics consulting teams an asset
• Background in cardiovascular disease research preferred
• Outstanding written and verbal communication abilities
• Demonstrated skill in explaining complex statistical concepts to non-specialists
• Strong track record of successful collaboration with multidisciplinary teams
• Excellent project management and organizational skills

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.