Statistical Analyst

Staff - Non Union

Job Category

M&P - AAPS

Job Profile

AAPS Salaried - Statistical Analysis, Level A

Job Title

Statistical Analyst

Department

Russell Laboratory | Centre for Disease Control | Faculty of Medicine

Compensation Range

$6,251.00 - $8,986.00 CAD Monthly

The 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. In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.

Posting End Date

June 3, 2026

Note: Applications will be accepted until 11:59 PM on the Posting End Date.

Job End Date

June 8, 2027

This position is expected to be filled by promotion/reassignment and is included here to inform you of its vacancy at the University.

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.

Job Summary

The UBC CDC, located at the BCCDC, is hiring a data analyst to support a genomics research project focused on highly pathogenic avian influenza viruses (HPAIVs). The role will support the optimization and maintenance of datasets, contribute to study design plans, perform statistical analyses, and develop data visualization dashboards for a genome BC funded project building cloud-powered data sharing and visualization tools for HPAIV surveillance. Working with a team of microbiologists, epidemiologists, veterinarians, senior scientists and technicians at the BCCDC and the animal health center (AHC), the data analyst supports a wide scope of analytical needs in a one health context. With support from the team of researchers, the data analyst will integrate large and varied (laboratory and epidemiological) data sources, develop scripts to validate and quality assure data integration workflows, manage and clean data for input into the analyses, create data visualization dashboards, and monitor dashboard performance as well as maintain visualization accuracy. Additional responsibilities include liaising with external and internal project team members and other data users across public health and animal health disciplines, drafting manuscripts and routine reporting to project funders. The data analyst works as a team player, collaborating and building relationships with medical, clinical and scientific staff as well as with national and international collaborators. This position is grant-funded with a possibility of extension.

Organizational Status

The Data Analyst will report directly to the study Principal Investigators. They will work collaboratively with other research team members, including research staff and graduate student trainees. They will interact and liaise with additional internal and external co-investigators, project partners, and Knowledge users.

Work Performed

Optimize data pipelines that integrate comprehensive data sources to enable regular updating of data

Document any pipeline development methods and procedures in code using version control

Manage, maintain, and clean data for input for analyses

Contribute to study design and analysis plan

Design statistical models for HPAIV risk monitoring based on genomics outputs

Create, maintain and improve R Shiny/Power BI-based data visualization dashboards

Liaise and enable data sharing with external team members

Prepare presentations to update project team, and contribute to manuscripts for peer review

Work collaboratively with others to support project objectives by actively participating at team meetings, and establishing effective communications with project staff and co-investigators

Consequence of Error/Judgement

The data analyst is required to conduct all activities in an ethical manner. Any procedures or data recorded must be accurate and must accurately reflect the work performed. All activities are accountable to the PIs. As data from this effort will be made widely available to a range of data users for surveillance, epidemiological, and policy research, consequences of error could result in erroneous information with negative implications for all of these activities. Confidentiality of highly personal health information and identifiers present in datasets must be protected at all costs

Supervision Received

The BCCDC PIs will provide direction and will oversee performance and results of the project. The data analyst will also be directly supervised by senior scientists on the study. The data analyst will be expected to develop a work plan and timelines and exercise a considerable amount of judgement/initiative to carry out tasks and achieve deliverables. Performance will be reviewed periodically.

Supervision Given

The data analyst may occasionally provide guidance to other research staff or graduate trainees.

Minimum Qualifications

Post-graduate degree in Statistics. Minimum of two years of related experience in research analysis, or the 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

Preferred Qualifications

Post-graduate degree in data science, statistics or epidemiology preferred

Experience with large animal, medical and/or health-related datasets such as epidemiology, health services research, or biostatistics is required

Demonstrated ability to exercise sound judgment in analyzing and evaluating data

Ability to maintain accuracy and attention to detail

Ability to prioritize and manage work under pressure to meet deadlines and shifting priorities

Demonstrated ability to communicate effectively, both verbally and in writing

Must be proficient with Microsoft operating systems, Excel, Access, Word

Demonstrated ability to use statistical software including Python, and R

Demonstrated ability to create RShiny and PowerBI-based data visualisation dashboards