Key Responsibilities
- Collaborate with cross-functional stakeholders, including product and service teams, to define research questions and execute research initiatives related to joint arthroplasty outcome prediction.
- Designs, develops, and validates relevant supervised and unsupervised ML algorithms to analyze structured and unstructured large datasets from multiple disparate sources and train predictive models.
- Perform data exploration (e.g., clustering) and identify meaningful insights from large data and metadata sources; conduct fairness and bias analyses to evaluate model performance; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Apply principles of Responsible AI to ensure models are interpretable, robust, and ethically sound.
- Conduct reproducible studies with well-maintained professional documentation; ensure proper organization of data and code repositories.
- Contribute to the preparation of progress reports and presentations for internal and external stakeholders, including the regulatory team.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Know and apply the Quality System and relevant Federal and International standards.
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