
The McMaster Institute for Research on Aging is a research center at McMaster University focused on aging optimization. It pursues this goal through interdisciplinary teams that work with older adults and key stakeholders. The institute leverages platforms like the McMaster Optimal Aging Portal and collaborates with the Labarge Centre for Mobility in Aging. Its work spans biology and behavior, aging-related mobility, and health outcomes to reduce costs and improve well-being. The initiative aims to impact Canadian aging populations at scale through education, research collaboration, and public-facing resources.

The McMaster Institute for Research on Aging is a research center at McMaster University focused on aging optimization. It pursues this goal through interdisciplinary teams that work with older adults and key stakeholders. The institute leverages platforms like the McMaster Optimal Aging Portal and collaborates with the Labarge Centre for Mobility in Aging. Its work spans biology and behavior, aging-related mobility, and health outcomes to reduce costs and improve well-being. The initiative aims to impact Canadian aging populations at scale through education, research collaboration, and public-facing resources.
Regular/Temporary
Temporary
Job Title
RESEARCH ENGINEER III
Job ID
72957
Location
HSC- Central Campus
Open Date
11/26/2025
Job Type
Short Term Employee
Close Date
12/05/2025
Employee Group
Unifor Unit 1, Staff
Favorite Job
Department
FHS Health Evidence and Impact
Salary Grade/Band
Grade 10
Salary Range
$32.81 - $52.36 (hourly)
Contract Duration
12 Months
Hours per Week
35
Posting Details
Schedule
Monday to Friday 8:30 – 4:30
Education Level
Master's degree in Engineering in a relevant field of study.
Career Level
Requires a minimum of 2 years of relevant experience.
Anticipated Start Date
January 2026
Job Description Number
JD00404
Job Description
Team Description:
The Health Information Research Unit (HiRU) at McMaster has a long history of supporting evidence-based medicine (EBM) by providing preappraised evidence to the clinicians who need it quickly, efficiently, and in easy-to-use formats. Through this process, we have accumulated large datasets of high-quality, clinically ready articles that allow for advance machine learning/AI studies. The incorporation of large language models (LLMs) into health care is rapidly growing, and EBM is no exception. LLMs have demonstrated remarkable success in various downstream tasks, including information extraction and evidence summarization of clinical studies and bodies of literature. At HiRU, we have are testing AI-enabled approaches to identifying, curating, summarizing, and appraising clinical evidence while ensuring the quality and trustworthiness of the work we develop. An AI engineer with experience in applying NLP and LLMs is sought to accelerate our research and application in this area. The attached article has more details about the unit
General Description
Under general direction, responsible for providing specialized, highly-advanced, engineering services in a specific engineering field or discipline to design, develop, and coordinate research or contract projects. Provides significant technical depth and expertise.
Representative Duties & Responsibilities
Qualifications
How To Apply
To apply for this job, please submit your application online.
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Hybrid Work Language
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