Your Opportunity:
The Precision Oncology Hub laboratory at the Tom Baker Cancer Centre is recruiting a Senior Biostatistician. This position provides advanced biostatistical expertise to the researchers, research projects and quality improvement projects in the Department of Oncology at the Tom Baker Cancer Centre and leads independent research of new scientific methodologies. The senior biostatistician will use their knowledge of statistics to collaborate with researchers in the design of clinical trials, develop guidelines and parameters for data gathering and conduct and oversee the analysis and interpretation of statistical data arising from scientific/cancer research. All Non-Union/Exempt positions are being reviewed for possible inclusions in the AUPE General Support Services bargaining unit. If this position is impacted, the incumbent will be notified accordingly.
Description:
The Biostatistician performs and leads advanced statistical analyses of data housed within relevant primary and administrative datasets, often involving large, complex datasets and linkage of multiple data sources. Analysis will require advanced knowledge of statistical techniques and development of novel statistical methods. Provides statistical analyses on image data and high-dimensional omics data. Provides supervision and mentorship to analysts, fellows and graduate students working on department-related projects. Completion of the statistical requirements of clinical trials from the design stage through the analytical, presentation and publication stages. Provides statistical consultation to and instructs researchers, assistants and students in the methods of statistical analysis and computing. Teaches and presents on statistical methods to a variety of audiences. Provides expertise on the input of data into systems to ensure data is usable in statistical analyses, generating reports and in tracking quality indicators. As a co-investigator or collaborator in grants, reviews and writes sections of the grant proposal in collaboration with multiple stakeholders. Provides expertise on the framing of research questions, determining outcomes and how they are measured. Determines appropriate methods of statistical analyses based on in-depth knowledge, discussions with collaborators, and by reviewing the current literature. Provides in-depth expertise and advisory support to stakeholders, professional staff and senior leaders on study design, implementation and execution of biostatistical models. Leads and investigates independent and collaborative multidisciplinary research within area of expertise, contributing to development of new scientific methodologies and published literature by identifying gaps in existing methods for improvement opportunities.
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