Drive innovation in health technology as an Applied Machine Learning Scientist at Eli Health. You'll focus on scientific problem solving and the application of models to real-world data sets.

Joining Eli

Health means collaborating with a small, dedicated team focused on transforming health monitoring. In this on-site role, you will engage with challenging datasets, develop robust models, and communicate effectively with technical and non-technical audiences. Your contributions will directly impact the reliability of the Hormometer® platform, making hormone tracking accessible and actionable. Key Responsibilities:

- Explore and analyze datasets for underlying processes
- Develop and validate machine learning models and analyses




- Perform diagnostics and error evaluations on models
- Identify bias and ensure model improvements
- Communicate findings clearly to diverse stakeholders Requirements:
- Relevant bachelor’s degree; Master’s or PhD advantageous
- At least 5 years of qualified experience
- Strong Python skills with ML libraries
- Deep understanding of statistical concepts
- Ability to navigate complex problem spaces independently Contribute your skills to Eli Health and make a tangible impact on health technology and monitoring.

📌 Eli Health Applied Machine Learning Scientist (Montreal)
🏢 The Institute for Performance and Learning
📍 Montreal