Biostatistician

Staff - Non Union

Job Category
M&P - AAPS

Job Profile
AAPS Salaried - Statistical Analysis, Level B

Job Title
Biostatistician

Department
Janjua Laboratory | Centre for Disease Control | Faculty of Medicine

Compensation Range
$7,400.83 - $11,540.42 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
March 27, 2024

**Note**: Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above.

Job End Date

Mar 31, 2025

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

We are seeking a biostatistician who, working with a team of biostatisticians, 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 Executive Director, Data and Analytic Services at the BC Centre for Disease Control & Clinical Professor, School & Population Health. Liaises with other BCCDC researchers, physicians, statisticians, and epidemiologists.

Work Performed

Leads, develops and collaborates in study methodology and analysis planning, implementation, analysis and interpretation of epidemiological studies using linked datasets from the BC COVID-19 Cohort and BC Hepatitis Testers Cohort
Links laboratory and health administrative databases and develops complex databases and data analysis programs
Coordinates and facilitates the development of analytical cohorts from large linked health administrative data
Designs, generates and implements statistical methodologies, models, packages and softwares for data extraction, cleaning, linkage and analysis of health administrative data for epidemiological studies on Hepatitis and liver diseases, COVID-19 and post-COVID conditions
Leads the design of complex epidemiological studies
Provides consultation related to epidemiological and statistical methods to other team members
Development of new algorithms, statistical techniques, and visualization approaches for the analysis and interpretation of data
Documents analytic procedures
Provide mentorship to junior analysts

Consequence of Error/Judgement
Accountable for the timely, accurate, and responsible analysis of patient, population, and pathogen data with important public health implications for disease control.

Supervision Received

Supervision Given
May give technical guidance or manage members of the research teams.

Minimum Qualifications
Post-graduate degree in Statistics. Minimum of three 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

PhD in biostatistics or PhD in statistics with graduate courses that concentrated on biostatistics preferred.
Three (3) years of relevant recent experience, including experience in the analysis and interpretation of health-related data such as Biostatistics, Epidemiology, Health Services Research, Health Economics preferred
Advanced understanding/skills in data management, statistical analysis, and reporting tools/programs (i.e. SAS, R, Tableau).
A strong background in data linkage and the analysis of large relational database.
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