Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
collection and analysis, and reporting Experience designing visuals, tables, graphs to communicate complex information Ability to review, edit, design and publish scholarly work in online and print formats
-
Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Information Services, Level B Job Title Communications Advisor Department Communications | Communications & Engagement | VP
-
analysis, data integration, and scientific data visualization. • Experience developing reproducible computational workflows and managing large-scale biological datasets. • Experience working collaboratively
-
. • Proficiency in R and/or Python for computational biology and bioinformatics analyses. • Strong background in statistical analysis, data integration, and scientific data visualization. • Experience developing
-
Proficiency in SPSS and other statistical software (example R, SAS, etc) Experience with data collection, management, analysis, visualization, and interpretation. Ability to select appropriate biostatistical
-
leadership and direction to enhance the coordination of institutional data and analysis across the UBC system, providing optimal support to UBC executive, Faculties, staff, government and to external partners
-
, collaboration, data visualization, or workflow tools is considered an asset. Travel may be required to support implementation activities across the Department's distributed training sites. Inquiries regarding
-
, literature searches, data compilation, processing, entry and analysis on design in health frameworks, neurodivergence, sensory processing, emotional regulation, and pediatric emergency care Participating in
-
design, data preparation, analysis, and reporting Manages data access requests and amendments for multiple platforms, including the BC Health Data Platform (HDP), the PHSA Platform for Analytics and Data
-
observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R, or a similar scripting and visualization language. Experience with high performance computing