Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of British Columbia
- McGill University
- Ryerson University
- Mount Royal University
- University of Saskatchewan
- SAIT Polytechnic
- University of Calgary
- University of Waterloo
- Centre d'innovation biomédicale - Université de Montréal
- Universite de Sherbrooke
- University of Guelph
- University of Toronto
- 2 more »
- « less
-
Field
-
computational workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory scientists to integrate computational analyses with experimental research
-
for organizing, and scheduling of the tasks. RA is responsible for all tasks to be completed on time and making sure all research procedures and data collection activities are running smoothly. Consequences
-
; coordinating with national partners and stakeholder organizations across Canada; assisting with planning and delivery of a national symposium; conducting quantitative and qualitative data analyses; preparing
-
. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization
-
researchers are well supported and for the smooth day-to-day operations of the biobank. You will be working together with a dynamic team, including laboratory technologists, clinical informatics and data
-
: Assist in participant recruitment and data acquisition, as well as manage day-to-day operations for a new study launched in September 2025 Assist in data management and cleaning using statistical software
-
areas of Statistical Sciences including theoretical, applied, data science, mathematical finance, actuarial science, and related fields. Description of duties: The successful candidates will conduct
-
data. The quality of work performed will determine the success of future projects and funding. Exercising poor judgment and lack of appropriate consultation with research team members and supervisors
-
Principal Investigator and team to develop relevant system for presenting research data Assist with analysis of archival data Attend team meetings (virtual) Communicate with other RAs Opportunity to assist
-
medicine Document and report research progress Attend individual and group meetings Qualifications: MSc in Data Science Start Date : 2026/09/01 End Date : 2027/04/30 Number of Work Hours per Week: 31.5 hrs