Graph Neural Network Influenza Modeling Intern

Boston Public Health Commission • Boston, MA

1d

About The Position

The Graph Neural Network (GNN) Influenza Modeling Intern will support the development and evaluation of machine learning models to improve seasonal influenza forecasting. The intern will analyze historical and current influenza surveillance data, develop and validate forecasting models using Graph Neural Networks, and assess how integrating multiple public health data sources—including emergency department visits, hospitalizations, laboratory testing, immunizations, and wastewater surveillance—affects predictive accuracy. The intern will also build reproducible R and/or Python workflows, support model visualization and deployment, and document processes to ensure long-term sustainability of the forecasting model.

Requirements

• Experience with influenza surveillance systems and public health data sources.
• Knowledge of traditional forecasting methods, machine learning, and Graph Neural Network approaches.
• Proficiency in developing and evaluating forecasting models using R and/or Python.
• Ability to build reproducible analytical workflows and visualizations for public health applications.
• Skills in documenting methodologies and supporting knowledge transfer.

Responsibilities

• Analyze historical and current influenza surveillance data.
• Develop and validate forecasting models using Graph Neural Networks.
• Assess how integrating multiple public health data sources affects predictive accuracy.
• Build reproducible R and/or Python workflows.
• Support model visualization and deployment.
• Document processes to ensure long-term sustainability of the forecasting model.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed