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Research Assistant 1

  • McConnell Eng. Bldg., Canada

$30.54 · Part-time

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Job details

Pay
$30.54
Job type
Part-time
Apply by
Experience
● At least 2 years of research experience in machine learning or artificial intelligence, including experience with deep learning and language models.
Posting language
English
Posted

Original job description

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School of Computer Science - Professor Li's Lab


Job description

  • Tests and maintains new functionality for the ChatHealthAI platform, including model integration, backend components, and the user-facing interface.
  • Conducts computational experiments on electronic health record datasets, including data preprocessing, model training, benchmarking, and evaluation of clinical language model outputs.
  • Analyzes experimental results and helps prepare figures, tables, and written summaries for manuscripts, conference submissions, and grant reports.

Other qualifying skills

  • Experience working with large language models, including fine-tuning, prompting, evaluation, or retrieval-augmented generation.
  • Strong programming skills in Python with experience in deep learning frameworks such as PyTorch.
  • Familiarity with clinical or health data, such as electronic health records, medical coding systems (ICD, ATC), or biomedical text.
  • Well organized and able to work independently, manage multiple tasks, and collaborate with students and clinical collaborators.

Experience and Education

  • Minimum Bachelor’s degree in Computer Science, Biomedical Engineering, Quantitative Life Sciences, Statistics, or a related field.
  • At least 2 years of research experience in machine learning or artificial intelligence, including experience with deep learning and language models.
  • Demonstrated experience analyzing large-scale health or biomedical datasets.
  • Proficiency with Python, Git, and high-performance computing or GPU cluster environments.


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 the campus where the position is based / located.

McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.

Hourly Salary:

$30.54

Hours per Week:

30 (Part time)

Location:

McConnell Eng. Bldg.

Supervisor:

Associate Professor

Position Start Date:

2026-11-16

Position End Date:

2027-05-14

Deadline to Apply:

2026-10-23

This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.

More about this job

Responsibilities

Test and maintain ChatHealthAI platform functionality, and conduct computational experiments on electronic health record datasets, including preprocessing, model training, benchmarking, and evaluation. Analyze results and help prepare figures, tables, and written materials for manuscripts, conference submissions, and grant reports.

Requirements

Requires a minimum bachelor’s degree in computer science, biomedical engineering, quantitative life sciences, statistics, or a related field, plus at least two years of machine learning or artificial intelligence research experience. Candidates must have experience with deep learning and language models, large-scale health or biomedical datasets, Python, Git, and high-performance computing or GPU clusters.

Skills

  • Large Language Models
  • Python
  • PyTorch
  • Deep Learning
  • Machine Learning
  • Electronic Health Records
  • Biomedical Data Analysis
  • Model Fine-Tuning
  • Prompting
  • Model Evaluation
  • Retrieval-Augmented Generation
  • Git
  • High-Performance Computing
  • GPU Clusters
  • Clinical Data

Visa sponsorship

Not detected in the job text

Categories

  • Science & Research
  • Technology
  • Healthcare
  • Data & Analytics
  • Software

Keywords

  • ChatHealthAI
  • Large Language Models
  • Python
  • PyTorch
  • Deep Learning
  • Machine Learning
  • Artificial Intelligence
  • Electronic Health Records
  • Clinical Data
  • Biomedical Text
  • ICD
  • ATC
  • Model Integration
  • Backend Components
  • User-Facing Interface
  • Data Preprocessing
  • Model Training
  • Benchmarking
  • Model Evaluation
  • Fine-Tuning
  • Prompting
  • Retrieval-Augmented Generation
  • Git
  • High-Performance Computing
  • GPU Clusters
  • Computational Experiments
  • Manuscripts
  • Conference Submissions
  • Grant Reports

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