Research Biostatistician - IT; AESES

New Regular Continuing Full-Time (Grant Funded)

Full-time:
Yes

Permanent:
Yes

Work schedule:

35 Hours/week (Monday to Friday, 8:00 am to 4:00 pm)

Salary: $33.08 to $47.72 per hour ($60,205.60 to $86,850.40 per annum)

Expected Start Date July 6, 2026

840 hours worked

For more information please contact:
Emma Poole -

MINIMAL FORMAL

EDUCATION REQUIRED:

• Master’s degree (MSc) in Biostatistics, Statistics, Epidemiology, or a closely related quantitative discipline is required.
• PhD in Biostatistics or a related field is strongly preferred.

EXPIERENCE:

• Experience applying biostatistical methods in a clinical research or health sciences setting is required.
• Demonstrated proficiency with R and/or Python for statistical analysis and data management is required.
• Experience with Power BI or equivalent data visualization platforms is required.
• Familiarity with REDCap and clinical research databases is required.
• Experience working with provincial health administrative data (e.g., MCHP, HIPC) is a strong asset.
• Experience supporting randomized controlled trials or prospective cohort studies is an asset
• An acceptable equivalent combination of education and experience may be considered.

SKILLS AND ABILITIES:

• Ability to communicate complex statistical concepts clearly to clinical investigators and non-statistician audiences is required.
• Strong organizational skills and the ability to manage multiple projects simultaneously with competing deadlines is required.
• Ability to work independently and as a collaborative member of a multidisciplinary research team is required.
• Commitment to rigorous, reproducible research practice is required.
• Ability to mentor and support trainees in quantitative methods is an asset.
• satisfactory work record, including satisfactory attendance and punctuality, is required.

OTHER JOB RELATED

QUALIFICATIONS:

• You will be required to provide 3 references at the interview stage.
• Authorship on peer-reviewed scientific publications

RESEARCH DATA ANALYSIS

• Provides biostatistical consultation to neurosurgery and spine program investigators at all stages of the research lifecycle, including study design, sample size calculation, analysis planning, and interpretation of results.
• Performs statistical analyses for clinical trials, observational studies, and quality improvement projects, including survival analysis, mixed-effects models, regression modelling, and repeated measures designs.
• Conducts data management, cleaning, and validation using REDCap, spine program registry databases, provincial health administrative data (MCHP/HIPC), and clinical trial datasets.
• Develops and maintains reproducible analysis pipelines and workflows using R and Python.
• Creates data visualizations and dashboards using Power BI to support reporting for clinical programs, granting agencies, and administrative stakeholders.
• Collaborates in the preparation of grant applications, manuscript submissions, conference abstracts, and progress reports to funding agencies.
• Assists in the design and maintenance of data collection instruments and electronic case report forms (eCRFs) in REDCap.
• Ensures appropriate data governance, security, and privacy practices in accordance with PHIA and institutional requirements when working with identifiable or linked health data.
• Provides statistical review and critique of internal research protocols and publications prior to submission.
• Contributes to a positive research team environment and may mentor graduate students, residents, or junior research staff in quantitative methods as opportunities arise.
• Participates in section research meetings and contributes to the ongoing development of research capacity within the spine program.
• May be required to preform related duties not exceeding skills and capabilities as required.

The University of Manitoba is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2

SLGBTQIA+ (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities).

If you require accommodation supports during the recruitment process, please contact or . Please note this contact information is for accommodation reasons only.

Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of "The Freedom of Information and Privacy Act" (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.