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.
Qualifications
Learning Objectives
Public service is a noble calling: to help others, to make our communities stronger, and to uphold the public trust.
As city employees, we see the results of our hard work in our own community— in street and infrastructure improvements, new buildings rising from the ground, safer and more prosperous neighborhoods, and happier, healthier children, families, and senior citizens.
We may all come from different backgrounds, but we are connected through our passion for service.
What we do at work today, and everyday, shapes the Boston of tomorrow.
Join us!
The City of Boston is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment. Therefore, qualified applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical or mental disability genetic information, marital status, sexual orientation, gender identity, gender expression, military and veteran status, or other protected category.
