Data Scientist for CGM Algorithm Development

Main Responsibilities :

• Algorithm Design & Prototyping : Design, develop, and validate predictive and analytical algorithms for CGM data. Develop robust code using advanced ML and statistical techniques to prove technical feasibility.
• Feasibility & Ideation : Understand patient needs and creatively model potential algorithmic approaches using real-world sensor data.
• Data Pipeline & Feature Engineering : Apply expertise in processing and managing heterogeneous time series data originating from medical devices. Execute rigorous data cleaning, imputation, transformation, and sophisticated feature engineering.
• Technical Execution & Modeling : Build and optimize machine learning models (e.g., XGBoost, Neural Networks, etc.). Write high-quality, efficient, and reproducible Python code for data analysis, modeling, and experimentation.
• Collaboration : Provide technical guidance within an Agile team framework to junior data science colleagues. Work effectively within a multidisciplinary, distributed team to translate project goals into actionable data science tasks.
• Communication & Reporting : Synthesize complex technical results and present clear feasibility findings to diverse stakeholders.

Qualifications and Experience :

Nice to Have :