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 in office 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 skilled experience
Solid 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