101 Statistics positions at McGill University

Course Lecturer (MGCR 271 051)

at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Business Statistics

Data Manager (Research Institute)

considered an asset for this position: Work Experience: • Strong statistical skills to assist with data collection, curation, and reporting, • Knowledge of other programming languages like SQL, Oracle, MATLAB

Retail Marketing Attribution

this position, you will work on Marketing Mix Modeling (MMM), which is statistical analysis - such as multivariate regressions on sales and marketing time series data – used to estimate the impact of various

Course Lecturer PSYC 305

lectures, organize classroom discussions, student presentations on the topics of Statistics for Experimental Design Supervise Teaching assistants hired for the course. Assess student’s assignments

RA2 - AQV

: Conduct basic data analysis using statistical software Support and analyze work for a project Responsibilities : Provide assistance with data analysis including data management, documentation and coding as

Assistant - National Data Curation team for the CLSA (Research Institute)

to researchers. • Support the Data Curation Centre staff in preparing descriptive statistics, tables and graphs. • Document processes and data preparation decisions for internal use and aid in the creation

Research Assistant 2

for data processing, statistical analysis, and machine learning. The Candidate will engage in research, applying these methods to MEG and EEG data to explore their relationship with structural brain changes

Conference & Special Events Coordinator

data and prepares reports and statistics. The list of duties and responsibilities outlined above is representative and not a complete and detailed list of tasks which may be performed by an employee

Data Analyst (Research Institute)

bioinformatic pipelines, analyze the data and interpret the results using statistical techniques. They will be developing and implementing data analyses, and acquiring data from primary or secondary data sources

Research Associate (JA - KB)

Adamowski Unit: Bioresource Engineering Position summary: Conduct research on improving water quality data via new statistical and AI approaches. Qualifications: PhD; 5 years of work experience in advanced