Modeling Supervisor

Job Summary

Leading the technical operations for the California Department of Public Health's influenza modeling and forecasting network, the full-time remote Modeling Supervisor will ensure the scientific integrity of national-scale forecasting, supervise the Influenza Modeler, and represent the program in collaborative efforts with CDC partners.

Key responsibilities

• Lead the development and maintenance of influenza forecasting ensembles, ensuring real-time submissions to collaborative hubs
• Direct research on forecast uncertainty and reliability, including the evaluation of novel data sources
• Supervise and mentor the Influenza Modeler, overseeing technical work and professional development

Required qualifications

• Doctoral degree (PhD) in epidemiology, biostatistics, computational biology, or a related quantitative field
• At least four years of experience as an epidemiologist or research scientist in a public health setting
• Demonstrated experience in real-time infectious disease forecasting or modeling methods
• Proficiency in statistical programming (R and/or Python) for production-level pipelines
• Track record of peer-reviewed publications in infectious disease modeling or related fields