Biostatistician Analyst Lead

University-of-Manitob; Winnipeg; Presencial; CAD 52.000 - 74.000; Jornada completa

Descripción de la vacante

University of Manitoba seeks a Biostatistician Analyst Lead to design and manage data systems, perform advanced statistical analyses, and provide methodological leadership across health research programs. The role involves collaboration with multidisciplinary teams and ensuring data governance and reproducible workflows.

The position is new regular full-time within the College of Pharmacy and Rady Faculty of Health Sciences, with expectations to manage complex datasets and support researchers

Formación

• Experience supporting health or clinical research projects.
• 2],

Responsabilidades

• Design, implement, and optimize research data systems and analytical environments.
• Develop data governance frameworks for quality, security, and reproducibility.
• Lead statistical analyses and interpretation for health research projects.

Conocimientos

Biostatistics

Research design

Data governance

Independent work

Manuscripts & grants

Communication

Multidisciplinary collaboration

Educación

Master's degree in Epidemiology/Biostatistics/Statistics/Public Health/Data Science

Bachelor's degree in related discipline

Community College diploma in related discipline

Herramientas

R

SAS

Python

SQL

Stata

SPSS

Descripción del empleo

Biostatistician Analyst Lead - Tech 5 (AESES)

Biostatistician Analyst Lead - Tech 5 (AESES)

College of Pharmacy

Rady Faculty of Health Sciences

Position number: 38355

Date posted: November 3, 2026

Job details

Biostatistician Analyst Lead - Tech 5 (AESES)

New Regular Continuing Full-Time (Budget Funded)

Full-time: Yes

Permanent: Yes

Work schedule: 35 Hours/week (Monday to Friday, 8:30 am to 4:30 pm)

Salary: $28.46 to $40.88 per hour ($51,797.20 to $74,401.60 per annum)

Expected Start Date December 1, 2026

840 hours worked

For more information please contact: Ericka De Villa - [e-mail]

Qualifications

MINIMAL FORMAL EDUCATION REQUIRED:

• Masters degree in in Epidemiology, Biostatistics, Statistics, Public Health, Pharmacy, Data Science, or another relevant scientific/technological discipline with two years = directly-related experience.

OR

• Bachelors degree in a related discipline with five years = directly-related experience.
  

OR

• Completion of a Community College course in a related discipline with six years = directly-related experience.
• Relevant certifications in database administration, data engineering, information security, cloud technologies, or project management would be considered an asset.

EXPERIENCE:

• Experience supporting health, clinical, population health, epidemiology, health services, or related research projects is required.
• Experience managing, preparing, and analyzing complex administrative, clinical, population-based, or research datasets is required.
• Experience conducting statistical analyses using software such as R, SAS, Python, SQL, Stata, or SPSS is required.
• Experience developing and maintaining databases, data management processes, and reproducible analytical workflows is required.
• Knowledge of biostatistics, epidemiology, quantitative research methods, and statistical modelling techniques is required.
• Knowledge of privacy, research ethics, and data governance requirements applicable to health and research data is required.
• Experience providing methodological, statistical, or data management support to researchers and interdisciplinary teams is preferred.
• Familiarity with administrative health databases, electronic medical records, REDCap, Manitoba Centre for Health Policy (MCHP) data, systematic reviews, or grant development is preferred.
• An acceptable equivalent combination of education and experience may be considered.

SKILLS AND ABILITIES:

• Practical working knowledge of probability, statistics and research design is required.
• Strong analytical, critical-thinking and problem-solving skills are required.
• Excellent oral and written communication skills, including the ability to translate complex technical concepts and requirements into clear, understandable information for technical and non-technical stakeholders is required.
• Experience preparing manuscripts and grant applications is required.
• Strong organizational and project management skills are required.
• Ability to work independently and within multidisciplinary teams is required.
• Exceptional attention to detail and commitment to data quality is required.
• Ability to manage multiple concurrent research projects is required.
• Commitment to research reproducibility and transparent reporting is required.
• A satisfactory work record, including satisfactory attendance and punctuality, is required.

Key responsibilities

Research Information Systems, Data Management and Analytics

• Design, implement, maintain, and optimize research data systems, databases, repositories, and analytical environments supporting multiple research programs.
• Develop and manage data governance frameworks, technical standards, and best practices for data quality, security, reproducibility, and documentation.
• Develop, maintain, and optimize data pipelines for importing, transforming, validating, linking, and exporting research data.
• Integrate and manage data from administrative health databases, EMRs, REDCap, specialty clinical systems, and other research sources.
• Clean, harmonize, validate, and analyze administrative, clinical, population-based, and specialty clinic datasets, including Manitoba Centre for Health Policy (MCHP) data.
• Create and maintain research cohorts and reproducible analytical workflows using version-controlled processes and R Markdown or equivalent tools.
• Ensure compliance with PHIA, privacy requirements, and applicable research governance standards.

Research Design, Statistical Analysis and Methodological Leadership

• Lead or support pharmacoepidemiology, health services, medication safety, and health outcomes research projects.
• Formulate research questions, develop study protocols, and prepare Statistical Analysis Plans (SAPs).
• Conduct literature reviews, scoping reviews, systematic reviews, and evidence syntheses.
• Perform advanced analyses including:
  • Descriptive and inferential statistics
  • Multivariable regression modeling
  • Longitudinal and repeated-measures analyses
  • Survival and time-to-event analyses
  • Causal inference methodologies
  • Epidemiologic and disease modeling
  • Health outcomes research
  • Power and sample size calculations
  • Simulation studies
• Interpret findings and provide methodological consultation to investigators, clinicians, trainees, and research teams.

Programming, Technical Development and Systems Support

• Program and analyze data using R, SAS, Python, Stata, SPSS, SQL, and other analytical tools, as required.
• Evaluate, implement, configure, and support research software platforms, vendor-supplied technologies, and research computing environments.
• Provide expert consultation regarding database architecture, statistical programming, data engineering, and analytical computing solutions.
• Troubleshoot and resolve complex technical, data, software, and workflow-related issues.

Research Outputs, Knowledge Translation and Scholarly Activity

• Develop publication-quality tables, figures, visualizations, dashboards, and graphical summaries.
• Prepare technical reports, manuscripts, conference abstracts, posters, presentations, and other dissemination materials.
• Support systematic reviews and evidence synthesis projects using PRISMA and other recognized reporting standards.
• Co-author and author scholarly publications and present findings to academic, clinical, and stakeholder audiences.
• Ensure all outputs comply with privacy, confidentiality, and research reporting requirement.

Grant Development, Collaboration and Consultation

• Contribute to grant applications, funding proposals, protocol development, and study feasibility assessments.
• Support Research Ethics Board (REB) submissions and amendments.
• Collaborate with faculty members, graduate students, research coordinators, health system partners, and external collaborators.
• Provide statistical, methodological, and research design consultation across a diverse portfolio of projects.

Professional Development

• Maintain current knowledge of advances in biostatistics, epidemiology, pharmacoepidemiology, health services research, data science, and reproducible research practices.
• Evaluate and implement emerging analytical methods, technologies, and best practices to strengthen research capacity and innovation.
• May be required to perform related duties not exceeding skills and capabilities as required .

Additional information

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 2SLGBTQIA+ (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 [e-mail] or 204-474-7195. 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 Protection of Privacy Act" (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.