Please refer to the

How to Apply for a Job (for External Candidates)

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).

Position Summary:

The hEDS*omics study is a pioneering, multi-center research initiative that aims to transform our understanding of Hypermobile Ehlers-Danlos Syndrome (hEDS). To achieve its ambitious goals, we're seeking a talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques.

The ideal candidate will play a crucial role in designing, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role will be instrumental in identifying disease subtypes and biomarkers for hEDS, advancing our understanding of this complex condition.

This position is part of a collaborative effort between McGill University's Canada Excellence Research Chair in Genomic Medicine, four specialized EDS clinics, the Québec Coalition of Orphan Diseases, and Medeloop, our AI healthcare technology partner. You'll work closely with Medeloop's data science, engineering, and product teams to ensure that our machine learning solutions meet the project's needs and objectives.

Primary Responsibilities:

• Develop, implement, and maintain machine learning models, algorithms, tools, and agents for analyzing biomedical data.
• Collaborate with data engineers to build scalable data pipelines for model training and inference.
• Work with Medeloop product and data science teams to understand project requirements and translate them into machine learning solutions.
• Ensure machine learning models' performance, accuracy, and reliability through continuous evaluation and improvement.
• Implement best practices for model versioning, testing, and deployment.
• Conduct exploratory data analysis and feature engineering to extract meaningful insights from diverse datasets.
• Develop and maintain comprehensive documentation for machine learning models and processes.
• Stay up-to-date with the latest advancements in machine learning and healthcare technology to enhance our solutions continually.

Qualifying Skills and Abilities:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 5+ years of experience as a machine learning engineer, preferably in the healthcare industry.
• Proficiency in programming languages such as Python, R, or Scala.
• Strong understanding of machine learning algorithms, statistical models, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms and services, particularly AWS (e.g., SageMaker, Lambda, S3).
• Knowledge of data governance and security best practices.
• Excellent problem-solving skills and the ability to work independently as well as in a team.
• Strong communication and collaboration skills.
• Passion for using machine learning to improve healthcare outcomes.
• Familiarity with graph databases, medical terminology, and healthcare data.
• Experience with healthcare common data models and data exchange protocols such as OMOP CDM, FHIR, and others.
• Knowledge of advanced topics such as natural language processing, reinforcement learning, or federated learning.

As one of Montreal's Top Employers, here is what we offer:

• Competitive benefits package (Health, Dental, Life Insurance) (if eligible)
• Defined contribution pension plan (with employer contribution up to 10%) (if eligible)
• Group Registered Retirement Savings Plan (RRSP) and Tax Free Savings Account (TFSA)
• Competitive vacation policy
• Two (2) personal days
• Two (2) floating holidays
• Nine (9) "Summer Fridays" - paid days off between the St-Jean Baptiste holiday and Labour Day
• Paid time off over the December holiday period
• Tuition waiver for regular employees and their dependents
• Up to two (2) days of remote work per week where the position permits

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.

Knowledge of English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level #4 on a scale of 0-4*.*

For a definition of our language proficiency levels, please click

here

.

Minimum Education and Experience:

Bachelor's Degree 5 Years Related Experience /

Annual Salary:

(MPEX Grade 06) $80,510.00 - $100,640.00 - $120,770.00

Job Profile:

MPEX-IST3S - Research Software Development - Senior Professional

Hours per Week:

33.75 (Full time)

Supervisor:

Professor

Position End Date (If applicable):

2026-12-31

Deadline to Apply:

2025-10-03

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

.