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.
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
May 31, 2027
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
We are seeking a data analyst who, working with a team of biostatisticians, data scientists, epidemiologists and scientists will contribute to the management and analysis of data from the various integrated cohorts including BC COVID-19 Cohort and BC Hepatitis Testers Cohort. These cohorts integrate data on lab testing, confirmed diagnoses, and healthcare administrative datasets such as medical visits, hospitalizations, prescriptions, cancers and mortality.
Organizational Status
Reports to Director, Research at UBC-CDC who is also a Clinical Professor, School of Population and Public Health, and the Executive Director, Epidemiology and Intelligence Services at the BCCDC. Liaises with other BCCDC researchers, public health physicians, statisticians, and epidemiologists.
Work Performed
• Participates in planning, implementation, analysis and interpretation of data
• Links administrative databases and develops complex data bases and data analysis programs
• Develops analysis plans and conducts analysis of linked datasets using various statistical techniques
• Development of new algorithms, statistical techniques, and visualization approaches for the analysis and interpretation of data
• Participate in writing of scientific manuscripts and grants
Consequence of Error/Judgement
Inappropriate judgement exercised by the incumbent will result in the involvement of the Principal Investigators and Manager to evaluate the issue in question and work together to develop future strategies. Errors in performance could lead to budget over expenditures, loss of funding from granting agencies which could have a significant impact on the effectiveness, image and reputation of the project, investigators, and organization.
Supervision Received
Oversight will be provided by the PI; however, the position requires a strong independent work ethic and a candidate capable of setting their own directions and priorities within a given framework and working within agreed-upon milestones and timelines.
Supervision Given
This position does not typically supervise others but will liaise with students, investigators, senior scientists, surveillance analysts, biostatisticians, collaborators, partners, and research and administrative staff.
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
• Advanced understanding/skills in data management, statistical analysis, and reporting tools/programs (i.e. R, SAS, Python etc).
• A strong background in data linkage and the analysis of large relational database.
• Experience with data science tools analytic tools and pipeline
• A demonstrated ability to develop complex and customized queries, particularly SQL queries, for relational databases.
• Strong analytical, problem-solving and system analysis skills including the ability to comprehend complex issues and related data/information.
• Demonstrated creativity in research and communication activities
• Strong evidence of self-directed, self-motivated and independent research skills
• Proven ability to develop, prioritize, implement and oversee multiple time-sensitive research projects