Data Analyst - Edmonton, Canada - University of Alberta

University of Alberta

Verified Company

Edmonton, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

MED Emergency Medicine:

Competition No.

Posting Date

Feb 14, 2024

Closing Date

Mar 06, 2024

Position Type

Full Time - Grant Funded

Salary Range

$60,299 to $83,456 per year

Grade

Hours

35
This position is a part of the Non-Academic Staff Association (NASA).

This position has a term length of 12 months plus one day and offers a comprehensive benefits package which can be viewed on our Benefits Overview page.

Location - This role is hybrid with a mix of remote and in-person; with on-site work primarily taking place at North Campus, Edmonton.

Working for the University of Alberta

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community._

The University of Alberta is teeming with change makers, community builders, and world shapers who lead with purpose each and every day.

We are home to more than 40,000 students in 200+ undergraduate and 500+ graduate programs, over 13,000 faculty and staff, 260,000 alumni worldwide and have been recognized as one of Canada's Greenest Employers for over a decade.

Your work will have a meaningful influence on a fascinating cross section of people—from our students and stakeholders, to our renowned researchers and innovators who are quite literally curing diseases, making discoveries and generating solutions that make the world healthier, safer, stronger, and more just.

Working for the Department of Emergency Medicine and the Faculty of Nursing

The mission of the Department of Emergency Medicine is to optimize and advance the provision of emergency medical care through excellence in education, research, and community service.

The Department's research groups are heavily involved in evidence-based medicine and have produced high-quality evidence-based research for over 20 years.

Knowledge synthesis and translation activities have provided a platform from which to exchange valuable information that has been used to improve the quality of care delivered to patients in the ED in Alberta, nationally, and internationally.

The Faculty of Nursing at the University of Alberta is one of the largest nursing education institutions in Canada. We are recognized as a leader in research, shaping nursing practice and policy at national and international levels.

Position Summary
Working under the supervision of the Dr. McLane (Department of Emergency Medicine) and Dr.

Tate (Faculty of Nursing), the Data Analyst will work on analyzing large datasets examining quality of health care for Métis and non-Métis patients in Alberta.

They will also be responsible for data cleaning and analysis of provincial home care data, which may include multiple regression, multinomial regression, mixed-effect modeling, and/or time-to-event analysis using primarily SAS.

The Data Analyst will conduct data management, analysis, and interpretation, as well as prepare presentation of findings (publications, reports, presentations).

Duties

Prepares detailed analytic plans in conjunction principal investigators and research partners
Analyzes data using basic and advanced statistical methods such as analysis of variance, nonparametric alternatives, multivariate, pattern, time series, longitudinal, and multilevel modeling
Interprets and clearly communicates results verbally and in writing
Generates required tables, graphs, and charts for publication and presentation
Writes and edits selected methodological and statistical content for manuscripts and abstracts
Establish/manage data files and undertake metadata documentation
Aggregates, merges, links and reshapes data as needed for ongoing analyses
Assists with the establishment and management of data file structures and data management systems

Qualifications

MSc in Statistics, Biostatistics, or Epidemiology or a related health sciences discipline
Expertise in basic and advanced statistical methods (e.g., analysis of variance, nonparametric alternatives, multivariate modeling including multilevel techniques, time series analysis longitudinal modeling, structural equation modeling, classification techniques) is required
Experience with using a variety of statistical software (e.g., SAS, STATA, R, SPSS) and in advanced multivariable modeling techniques
A high level of proficiency in statistical analyses with large administrative health datasets
Strong competencies in MS Office software
Excellent written and verbal communication skills
Strong interpersonal skills and demonstrated abilities as a team player
Detail oriented with strong problem finding, resolution and documentation skills
Knowledge of Ethical Métis Research considered an asset

How to Apply
**We thank all applicants for their interest; however, only those individuals