McGill University

ResearchAssistant2

$0–0k Montreal, Quebec, Canada PART TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Assistant 2 at McGill University. Skills: Data science, ML/AI, Business intelligence, Quantitative analysis. Develop system identification methods. Implement system identification methods”

Industry & Context.

Problems you'll solve

Data-driven decision making

What They're Looking For.

Must Have

Master's Degree, Authorized to work in Canada, Willing to work in Quebec

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Develop system identification methods

Implement system identification methods

Validate system identification methods

Analyze research datasets

Interpret research datasets

Recommend analytical improvements

Implement analytical improvements

Summarize research findings

Prepare figures for dissemination

Prepare tables for dissemination

Prepare reports for dissemination

Present research results

Assist in manuscript preparation

Assist in report preparation

Assist in publication preparation

Participate in data analysis meetings

Participate in interpretation meetings

Participate in research team meetings

Ensure analysis accuracy

Ensure results integrity

Perform research activities

How You'll Work.

Team & Collaboration

Research team meetings

Communication Scope

English communication; Verbal communication; Written communication

Full Job Description

**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position 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).** **Primary Responsibilities** * Develop, implement, and validate system identification methods to characterize the dynamic relationship between uterine activity and fetal heart rate recorded in the delivery room. * Analyze and interpret large-scale research datasets, including the application of validated methods to approximately 250,000 records and the stratification of results according to defined output classes. * Recommend and implement improvements to existing analytical and research methodologies to optimize data processing and interpretation. * Summarize, analyze, and interpret research findings using appropriate statistical methods and prepare figures, tables, and reports for dissemination. * Prepare and present research results at scientific meetings, conferences, and other knowledge-sharing activities. * Assist in the preparation of manuscripts, reports, and publications for submission to peer-reviewed scientific journals. * Participate in weekly data analysis, interpretation, and research team meetings related to the MAESTRA project. * Ensure the quality, accuracy, and integrity of research data, analyses, and results. * Perform other related research activities as required. **Other Qualifying Skills and/or Abilities** Possesses specialized knowledge of the field or discipline acquired through a Master’s Degree. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at

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