Statistical Bioinformatician Position @ CDC

Position: Statistical Bioinformatician

  • This position is located in the Biostatistics and Information Management Office and will support the entire Division in the area of AMD-WGS.


CDC’s Division of Foodborne, Waterborne, and Environmental Diseases (DFWED) in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) 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.” The Biostatistics and Information Management Office (BIMO) works with epidemiologists and laboratory scientists in the Division’s five branches to adapt existing analytical methodology and develop new techniques for statistical analysis.


The Biostatistics and Information Management Office has begun a new initiative to link and analyze large, complex databases containing information obtained from traditional surveillance and laboratory methods with data obtained through new advanced molecular diagnostics (AMD). The incumbent will be involved in both methods development as well as research analyses of genomic data such as next-generation sequencing (NGS) whole genome sequence (WGS) data. The main responsibility will be working with experts in the fields of epidemiology, laboratory science, and bioinformatics to develop statistical methods and tools for the analysis of WGS data, including successful statistical algorithms for outbreak detection. The incumbent will also support the Division with statistical approaches to research questions pertaining to the use and interpretation of genomics data, and will provide training for the Division, focused on statistical analysis of pre-processed genomics data. With the advent and use of these revolutionary microbial diagnostic methods, as well as future diagnostic methods including metagenomic data, the incumbent’s analyses and method development have the potential to truly have a high-impact.  This position will include extensive collaboration and coordination with Division Branches, as well as other scientific groups.




A qualified applicant should have a PhD in Bioinformatics, Computer Science, Computational Biology, Biostatistics, Statistics, or other relevant discipline. The applicant should have a strong background in biostatistics or bioinformatics, and it is preferred that he or she also have a background in biology or genetics. Other qualifications include:

  • Familiarity with the NGS technology and with genetics and “omic” data (e.g., genomic and epi-genomic data).
  • Familiarity with advanced methods for determining differential expression in high-throughput experiments.
  • Familiarity with cluster detection and measures of inter-population genetic diversity.
  • Experience with data visualization techniques and statistical methods used for analysis of WGS data and other “omic” data.
  • Necessary programming skills (e.g., Perl, BioPerl) to conduct statistical analysis of this type of data with open-source software such as R and Bioconductor.


Please email a CV and cover letter in support of your application to:

Gordana Derado, PhD.