Biostatistician/Data Management

Join to apply for the Biostatistician/Data Management role at The University of British Columbia. Job Profile Salaried - Level B Staff - Non Union Job Category: M&P - AAPS Job Title: Biostatistician/Data Management Department: Keown Laboratory Division of Nephrology | Department of Medicine | Faculty of Medicine Compensation: $7,622.83 - $11,886.67 CAD Monthly Posting End Date: December 7, 2025 Job End Date: January 31, 2027 FTE: 0.4 (approx. 14 hours per week, pay prorated) Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position. Employees will be hired, transferred or promoted within the range. Job Summary The Genome Canada Transplant Consortium (GCTC) is an international program linking 22 universities in Canada, the US, EU and UK to develop advanced genomic, immunologic and pharmacologic technologies in organ transplantation. The GCTC Knowledge Integration core in Precision Medicine seeks an experienced Biostatistician to work with an active international research team using advanced methodologies and machine learning. This position offers excellent opportunities for academic scholarship, research leadership and publication in translational and clinical research projects. The successful candidate will work closely with the Principal Investigator and team members, and will be involved in research projects requiring skills in design and implementation of advanced statistical methodologies, mathematical simulations, machine learning, data science techniques, and multi‑purpose data linkages. Organizational Status The candidate will work closely with the lead investigator at the Vancouver General Hospital site and act as a liaison between research team members located at local and international sites. Work performed Participate as a member of research team to provide statistical expertise for the design, execution and analysis of genomic, translational and clinical studies. Design and develop advanced statistical models and methodologies for complex biomedical studies. Provide expert consultation on study design, model selection, and simulation‑based evaluations. Provide statistical, data linkage and management consultation to the research team through leadership in data linkage and statistical analysis in cross‑divisional multi‑disciplinary projects. Perform statistical modelling and mathematical simulation of research data for introducing new statistical methodologies and study designs.Provide leadership in the security and integrity of all research databases and research activities. Develop detailed data management and statistical analysis plans that include, but are not limited to study design, data linkage and management, study objectives, statistical methodologies and analysis, knowledge transition to internal and external project research community. Advise and execute data retrieval and management of databases for cohort‑based epidemiological, clinical, genomic and transitional studies. Consult on design and development of multiple data analyses, including data availability, choice of metrics and measures and development of strategy and implementation of data linkages and integration of multi‑institutional clinical and administrative databases; oversee data quality and automation of recurring processes. Respond to consulting requests requiring expertise in statistical methodologies and procedures. Provide statistical contributions to data mining operations and algorithm development. Prepare statistical methodology sections for research protocol development, reports, grants proposals and publications based on clinical findings and evidence‑based outcome analysis. Gather, analyze, and interpret research data providing conclusions and recommendations, using a variety of established and newly developed statistical software. Respond to a variety of questions from research staff regarding study design, interpretation, statistical methodology and software. Manage multiple tasks and work with multidisciplinary team. Communicate technical concepts (via both written and oral presentations) to non‑statisticians. Other duties as assigned. Consequences of Error/Judgement Because the candidate will work with data derived from human subjects, strict adherence to standard operating procedures is required to maintain data integrity and reproducibility. The candidate must exercise professional judgment and initiative in assessing design and testing approaches, and will be accountable for the delivery and reliability of their own work. Supervision Received The candidate is expected to work independently of setting up, maintaining, optimizing and running the statistical analysis processes. Work independently under general direction of Lead Project Investigator. Provide regular research activity updates and present research findings to team members. Supervision Given Throughout the study the candidate may give technical guidance to team members (technicians, students, research fellows and co‑investigators) on specific statistical methods and analysis techniques. Advice and mentor junior analysts and research staff in statistical testing. Minimum Qualifications Post‑graduate degree in Statistics. Minimum of three years of related experience in research analysis, or an equivalent combination of education and experience. Willingness to respect diverse perspectives, including perspectives in conflict with one’s own. Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion. Required Qualifications PhD Degree (equivalent) or higher in biostatistics, informatics or data sciences or equivalent combination of education and experience. Expertise in clinical sciences, including data management, study design, statistical methodologies and analysis, algorithm development, and reporting using SAS and/or R programming languages, and experience with machine learning and large data analytics are important assets. A working knowledge of medical terminology and medical experience either in a clinical and/or research setting is preferred. Knowledge of Research Ethics Board and Human subject protection regulations would be an asset. Diversity and Inclusion At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Additional Information Seniority level: Mid‑Senior level Employment type: Part‑time Job function: Research, Analyst, and Information Technology Industry: Higher Education #J-18808-Ljbffr