CDC Biostatistics, Statistics, Mathematical Statistics for Respiratory Virus Epidemiology, Centers for Disease Control and Prevention (CDC)/ORISE
Category : Alumni
CDC’s Coronavirus and Other Respiratory Viruses Division (CORVD) in the National Center for Immunization and Respiratory Diseases (NCIRD) is dedicated to development and advancement of biomedical research to “improve the health of people by preventing illness, disability, and death from respiratory viruses induced diseases through public health science and practice in the United States and globally”. The Biostatistics, Economics and Modeling (BEaM) Unit, works with epidemiologists and laboratory scientists in the Division’s four branches to adapt existing analytical methodology and develop new techniques for statistical analysis.
Research Project: The fellow will train with BEaM’s statisticians, economists, and modelers and collaborate with the branches in the Division in the area of study design and statistical analysis. The fellow will train in Mathematical Statistics, mentored by senior statisticians in BEaM and will collaborate with epidemiologists and laboratory scientists in CORVD’s four branches. The fellow will learn to apply Bayesian and frequentist analytical techniques, including conditional autoregressive random effects models and probabilistic multiplier models to estimate the burden of COVID-19, RSV, and other respiratory viruses in the United States. This will include collaborating with informatics specialists to automate processes. Various statistical methodologies, adapted from existing and newly developed methods, will be applied to explore the epidemiology and biological science of respiratory viruses, including examining and improving the understanding of viral interference between respiratory viruses. In addition to providing statistical analysis and modeling support, the fellow will gain hands-on experience in the areas of study design, data visualization, and the use of statistical software, as well as authoring and coauthoring publications.
Mentor(s): The mentor for this opportunity is Gordana Derado (uwx8 [at] cdc [dot] gov). If you have questions about the nature of the research please contact the mentor(s).
Anticipated Appointment Start Date: January 6, 2025 Start date is flexible and will depend on a variety of factors.
Appointment Length: The appointment will initially be for one year, but may be renewed upon recommendation of CDC and is contingent on the availability of funds.
Preferred skills:
- Strong background in statistics/biostatistics, including Bayesian statistics.
- Basic understanding of epidemiological methods
- Experience with data visualization techniques and statistical methods used for analysis of high-dimensional data
- Programming skills to conduct statistical analysis e.g., in R, SAS, Python, Stata, Matlab, or other computational software.
- Familiarity with PowerBI or similar data visualization tools
Eligibility Requirements:
- Master’s Degree or Doctoral Degree received within the last 60 months or currently pursuing.
- Discipline(s):
- Engineering
- Mathematics and Statistics
- Social and Behavioral Sciences
Applications due December 6th, 2o24 and will be reviewed on a rolling basis. For more information and application instructions, please visit the job posting on 12Twenty.
