CDC Fellowship track focused on mathematical modeling and advanced analytics

The Centers for Disease Control and Prevention (CDC) Steven M. Teutsch Prevention Effectiveness Fellowship program is establishing a 2-year fellowship track focusing on mathematical modeling and advanced analytics. The goals of the fellowship are to train future modeling and analytic leaders in applied public health, to integrate analytic expertise within CDC programs, and to enable growth of advanced analytical expertise across CDC.

This fellowship would be ideal for individuals with terminal degrees in mathematical and analytical fields (including mathematical modeling, statistics, data science, computer science, machine learning, ecology, quantitative epidemiology, engineering and operations research, and bioinformatics), who wish to gain valuable work experience in an applied public health setting.

For more information, contact Rachel B. Slayton by email: via3 (at)

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