Biostatistician/Data Analyst
JOB SUMMARY:
The Centre for Lung Health data analyst is a full-time integrated member of a community of clinicians, researchers, coordinators, technicians, and trainees, who optimizes collection, use, and interpretation of data designed to improve lung health across a spectrum of disciplines.
This position reports directly to the Division Head of the Respiratory Division, in addition to the specific Principal Investigator (PI) of the project the incumbent is working on. Interactions with other research partners and liaison with other departments within the university as needed.
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.
- PhD an asset although those with other degrees and equivalent experience will be considered.
- Proficiency with Microsoft Office, database handling, and software and hardware troubleshooting.
- Team-oriented, committed and precise
- Demonstrates responsibility and accountability.
- Effective oral and written communication, problem solving, interpersonal, multitasking and excellent organization.
- Demonstrates ability to work effectively and precisely under pressure and time constraint accuracy and attention to detail required.
- Expected to work collaboratively as part of a team with other clinical research coordinators, hospital staff, attending physicians, support staff, grant and industry sponsors and their representatives, regulatory agents, and clinical investigators.
- Ability to exercise initiative, tact, and discretion are of critical importance.
- Able to work a flexible schedule, including early mornings, evenings, and weekends as needed.
- Has excellent communication skills, and works well in a multidisciplinary team environment.
- Is skilled in cross-sectional, cross (mixed effects), and longitudinal analysis for complex and time-varying exposure-response relationships, as well as dimension reduction techniques relevant to diverse datasets.
- Experience with genomics, multiomics, big data and machine learning an asset.
- Is willing to learn new techniques and novel analysis methods for application.
- Skills in R required.
- Additional skills in Python and STATA an asset.
WORK PERFORMED:
- Organizes and maintains study data in accordance with investigator’s strategy and relevant privacy rules.
- Works with investigators in the Centre of Lung Health to obtain permissions and retrieve data from public and private databases. Experience with PopDataBC is an asset.
- Advises on type of application of statistical methods for epidemiological and clinical trial investigations, including randomization procedures, statistical power, and selection of outcome measures.
- Performs and interprets statistical analyses and makes recommendations on presentation of analytical products. Assists in editing reports for publication and knowledge translation.
- Writes statistical methodology sections of grant proposals.
- Leads data visualization, through the use of charts, tables, graphs, maps, infographics, and dashboards.
- Performs quality control on data collected, assures compliance to the data definitions, identifies inconsistencies, and offers pathways to resolution.

