PostDoc: The Center for Disease Control
Project description: Develop a comprehensive software system
that integrates multiple bioinformatics tools for the analysis
and visualization of transmission networks, including development
of methods to improve integration, analysis, and interpretation of
phylogenetic, network, and epidemiologic, clinical and antimicrobial
treatment data. When possible, this approach will utilize existing
individual software programs and bioinformatics tools that are free
and open source. The developed methods will use the rich metadata
available from various studies and allow for searching and filtering
sequences and metadata by specific characteristics, risk groups, and
antimicrobial treatments. These new tools will help identify meaningful
cluster characteristics and trends in subgroups at local and national
levels. This work will provide CDC with a better understanding of
pathogen transmission in communities and will better utilize resources to
target specific prevention efforts. The new tools will also facilitate
providing data and results back to state and local health departments
for use in additional investigations and to guide local prevention
efforts.
Desired Skills and Qualifications: BS, MS or PhD degree
in an area of computational or life sciences with at least two years
programming experience, including bioinformatics. The fellow should
be familiar with molecular and public health epidemiology and analysis
of genetic sequence data, including phylogenetic and network analyses.
The fellow should have experience with data manipulation and development
of software utilizing various programming languages, including Java,
Linux, Perl/Python, C++, and be willing to learn additional programming
languages as necessary. Experience with relational databases (MySQL,
Oracle or PostgreSQL). Experience manipulating, analyzing, and annotating
very large biological sequence data sets, both in exploratory and
pipelined fashions. The fellow should be highly capable of working
collaboratively with an interdisciplinary team, including laboratory
scientists, epidemiologists, bioinformaticians, statisticians, and
data analysts, and have strong written and verbal communication skills.
Must be self-motivated, work independently in a team environment, and
be able to multi-task. The fellow is expected to comply with DHAP and
HHS policies and procedures for the handling of human subject’s data.
The potential applicants can contact me directly.
William M. Switzer, MPH
Retrovirus Surveillance Activity Leader
Laboratory Branch
Division of HIV/AIDS Prevention
Centers for Disease Control and Prevention
1600 Clifton Rd., MS G-45
Atlanta, GA 30329
404-639-0219, 404-639-1174 (FAX)
Email:bis3@cdc.gov