CDC Data Science Public Health Surveillance and Prevention Fellowship

Organization

Centers for Disease Control and Prevention (CDC)

Centers for Disease Control and Prevention (CDC)

CDC-

10/16/2026 9:35:33 AM Eastern Time Zone

• Applications will be reviewed on a rolling-basis.

A research opportunity is currently available with the Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.

The Centers for Disease Control and Prevention (CDC) is one of the major operation components of the Department of Health and Human Services. CDC protects America from health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad, are chronic or acute, curable or preventable, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same.

CDC increases the health security of our nation. As the nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish its mission, CDC conducts important science and provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise.

The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) Team, within the Surveillance, Epidemiology and Prevention Branch of CORVD, is seeking a motivated master’s-level graduate fellow with a background in surveillance, epidemiology, biostatistics, informatics, data science, or a related field. RESP-NET is a population-based surveillance platform that monitors laboratory-confirmed hospitalizations associated with influenza, COVID-19, and RSV among children and adults in the United States.

RESP-NET data are used to characterize hospitalization trends, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making.

As part of this research opportunity, you will gain hands-on experience training on the operation and project management of a large, multisite hospitalization surveillance platform spanning 15 sites across the United States. You will learn to coordinate surveillance activities across participating sites, support data collection and data quality efforts, develop and maintain surveillance tools and guidance, and facilitate communication and collaboration across the network.

You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing reproducible analytic workflows, integrating data from multiple sources, creating data visualizations, and contributing to scientific reports, presentations, and manuscripts.

This fellowship will provide a unique opportunity to train with a multidisciplinary team focused on innovative approaches to collecting, analyzing, interpreting, and disseminating public health surveillance information. CORVD provides scientific and programmatic leadership for the surveillance, diagnosis, prevention, and control of respiratory syncytial virus (RSV), SARS-CoV-2, and other respiratory viruses in the United States and internationally.

Under the guidance of experienced CDC scientists, you will receive training in:

• Advanced statistical and computational methods for public health surveillance.
• Integration and harmonization of multiple surveillance and administrative data sources.
• Development of reproducible analytical workflows using programming languages such as R and Python.
• Application of machine learning and predictive modeling techniques to identify patterns, trends, and emerging public health concerns. Design and evaluation of interactive data visualizations and dashboards to communicate scientific findings.
• Best practices in data management, data quality assessment, reproducible research, and scientific computing.
• Scientific writing, manuscript preparation, presentation development, and communication of research findings to technical and non-technical audiences.

Under the guidance of a mentor, you will:

• Develop skills in epidemiologic and statistical analysis through mentored application of appropriate methods to respiratory virus surveillance data, with opportunities to characterize trends, risk factors, and health outcomes.
• Gain practical…