Biostatistics and Data Science ORISE Fellowship, Division of Foodborne, Waterborne, and Environmental Diseases
Category : Alumni
DFWED is dedicated to development and advancement of biomedical research to improve public health through the prevention and control of disease, disability, and death caused by foodborne, waterborne, and environmentally transmitted infections. SIMSO consists of a motivated, highly skilled, and dynamic group of statisticians, surveillance epidemiologists, and IT professionals who work with epidemiologists and laboratory scientists in DFWED’s five branches to apply existing and novel analytical methodology to a variety of complex research projects.
The fellow will be training with experts in the fields of epidemiology, laboratory science, bioinformatics, and statistics to apply or develop statistical methods for the analysis of genetic/WGS data and other forms of “big data” resulting from waste water surveillance as well as CDC’s Advanced Molecular Detection (AMD) initiative. The fellow will participate in developing, evaluating, and validating statistical and machine learning algorithms for outbreak/anomaly detection of multiple foodborne, waterborne, and mycotic pathogens. Reports summarizing findings and tools for implementing finalized algorithms will be produced. The fellow will also train in interpretation of results and will practice developing and providing the Division and external partners with training on tools developed as well as statistical software.
Review of applications will begin September 13.
To learn more and apply to this position click here!
