Perform exploratory data analysis on retrospective electronic health record (EHR) data to uncover patterns and inform feature and label engineering.
Evaluate existing predictive models for postoperative complications and build new models that integrate clinical expertise with novel modelling techniques.
Build and expand data and modelling pipelines for experimentation, testing, and result reporting, and maintain documentation.
Rigorously evaluate models in the context of accuracy and suitability for clinical workflow within FluidAI’s product ecosystem.
Collaborate with data scientists, software engineers, clinical trial specialists, product designers, and clinicians to incorporate user needs and clinical knowledge.
Conduct focused literature reviews to understand existing and novel modelling techniques.
Report on and present results to the wider Clinical-Product-Data team.
Support other data analysis, machine learning and/or AI projects as needed.
Requirements
Candidate for Bachelor’s degree in engineering, computer science, or related field of study (current full-time student in a Canadian post-secondary program).
Co-op 8+ months preferred.
Proficiency with Python and standard data science tools for data processing, statistical analysis, machine learning, and visualization (such as NumPy, Polars, scikit-learn, Matplotlib, SQL, etc.).
Ability to integrate contextual knowledge, such as clinical expertise or product design requirements, into data analysis.
Previous experience developing predictive models with medical data is an asset.
Experience in time series forecasting, synthetic data generation, or weak supervision is an asset.
Comprehension of medical terminology is an asset.
Strong written and verbal communication skills.
Meticulous and detail-oriented; strong organizational skills and ability to multi-task.
Must be a Canadian citizen, permanent resident, or person granted refugee status in Canada and legally entitled to work (international students are not eligible).
Benefits
Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.
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