Remotely
pythonmachine learningawsoncologycomputer visiondigital pathologysurvival analysis
Job Description
📋 Description
- Lead development of digital pathology AI models using whole-slide imaging data to predict clinical
- Adapt state-of-the-art open-source AI foundation models to internal datasets and collaborator
- Identify data sources and lead efforts to obtain high-quality annotations and datasets for ML
- Break down complex data science challenges into actionable projects; mentor junior team members
- Partner with internal/external stakeholders to translate clinical/business requirements into
- Collaborate with bioinformatics, statistics, medical experts, and other teams to document projects
🎯 Requirements
- PhD in Data Science, Machine Learning, Applied Mathematics, or closely related quantitative field.
- 8+ years in data science, ML, or related role in a disease-related field; oncology experience
- Expert Python for AI/ML development in CV/digital pathology including data prep.
- Strong statistical analysis: survival modeling, hypothesis testing, multivariate regression with
- Experience with cloud computing; AWS preferred.
- Ability to communicate complex AI concepts to technical and non-technical audiences.
🎁 Benefits
- Canada-based compensation range of CAD 160,000 – 182,000 CAD.
- Competitive total compensation with discretionary bonuses and RSUs.
- Comprehensive benefits for well-being; remote-friendly environment for Canada-based candidates.
- Opportunity to work on advanced AI, digital pathology, oncology, and diagnostic tech with patient
- Collaborative, multidisciplinary environment with data science, bioinformatics, statistics, medical
- Professional growth, mentorship, and ongoing learning opportunities, plus on-site workspace options
