Research Data Analyst – GEN

Scarborough Health Network

Research Data Analyst supporting data analytics and research activities at Scarborough Health Network. Collaborating with investigators and utilizing statistical expertise for research projects.

Posted 4/25/2026full-timeScarborough • 🇨🇦 CanadaMid-LevelSenior💰 CA$50 - CA$58 per hourWebsite

About the role

Key responsibilities & impact

Build database queries to acquire information from the electronic health record, according to REB-approved case-report forms and research protocols
Process and clean the acquired data as needed according to the planned analyses
Store and handle all data in a secure and REB-approved manner
Collaborate with clinicians to troubleshoot queries and ensure that the queries return the expected information
Advise collaborating investigators and trainees regarding potential statistical models based on their proposed research question or protocol
Lead the drafting and creation of statistical analysis protocols
Code and perform analyses according to protocols
Fit models using a range of quantitative techniques ranging from machine learning to Bayesian analysis
Craft tables, figures, and results according to research protocol specifications
Collaborate with research teams to refine statistical analysis plans and outputs
Support data analytical aspects of REB submissions
Ensure maintenance of an accessible and organized code base to reduce duplication of effort and support principles of open science and reproducibility
Provide orientation and training to new team members regarding the structure and operating procedures of the research team in regards to data analytics
Support the preparation of grants and manuscripts by preparation of tables and figures, critical interpretation of results, crafting of methods section and limitations text
Estimate the time requirements for proposed or future work relating to data analytics to support grant proposals and budgeting
Support the overall academic development of SHN by providing data analytics and statistical feedback on academic work by trainees

Requirements

What you’ll need

Master’s degree in Statistics, Data Science, Computer Science or other quantitative field
4 + years of experience and/or education
Nice to have: PHD in Statistics, Data Science, Compute Science or other quantitative field
Experience with Epic databases including Clarity and Caboodle

Benefits

Comp & perks

Defined Benefit pension plan through the Healthcare of Ontario Pension Plan
Comprehensive insured benefits package including health and dental benefits
New Graduate Initiative Enroute Program
Critical Care Sponsorship Program
Employee Discount and Incentive Programs
Employee and Family Assistance Program (EFAP), along with other comprehensive wellness offerings, including our Spiritual Care team of registered psychotherapists for spiritual, religious or emotional care; mental health supports; and on-site wellness rounding
Recognition events
Leadership Development and Learning Programs
Tuition Assistance Program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

database queriesdata processingstatistical analysismachine learningBayesian analysisdata cleaningquantitative techniquesdata analyticsstatistical modelscode maintenance

Soft Skills

collaborationtroubleshootingadvisingleadershiptrainingcommunicationorganizationcritical interpretationtime estimationacademic development

Certifications

Master’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in Computer SciencePhD in StatisticsPhD in Data SciencePhD in Computer Science