Staff Scientist or Staff Scientist (Core) - Bioinformatics

Employer
National Institute of Allergy and Infectious Diseases (NIAID)
Location
Bethesda, Maryland (US)
Salary
Competitive
Posted
June 03 2016
Position Type
Full Time
Job Type
Staff Scientist

Staff Scientist or Staff Scientist (Core) - Bioinformatics

Laboratory of Systems Biology (LSB)

Division of Intramural Research (DIR)

National Institute of Allergy and Infectious Diseases (NIAID)

National Institutes of Health (NIH)

Department of Health and Human Services (HHS)

LSB conducts multidisciplinary research and engages in highly interactive, large-scale projects requiring a wide range of scientific skills and knowledge and generating extremely large and complex data sets. LSB is recruiting individuals in the broad area of computational analysis of diverse data sets from high-throughput assays such as micorarrays, RNA-seq, ChIP-seq, RNAi screens, mass spectrometry/proteomics, high-content imaging, and SNP genotyping for positions as staff scientists (core).

The incumbents will work closely with experimentalists for analysis and biological interpretation of these data. Analyses will include data normalization/pre-processing using informatics, other existing methods like clustering, hypothesis testing, visualization, data reduction, and pathway analysis, and the development of novel computational tools, e.g., network modeling. Incumbents will also develop high-level methods for genome-scale data integration in collaboration with experimental scientists in LSB and leveraging the latest developments in the field.

The incumbents will help train investigators with limited data analysis skills in the use of commonly available data analysis tools and suggest methods for more advanced analysis.

The incumbents will report directly to the LSB chief. Ideal candidates will have a Ph.D. or M.D. in computational biology, bioinformatics, systems biology, or relevant discipline and three or more years of hands-on research experience with the analysis of high-throughput data sets. They should possess a sound knowledge of statistics and quantitative modeling, as well as solid computer programming skills with proficiency in Matlab/R, SQL, and at least one scripting language (Perl/Python/Ruby). Proficiency in C/C++ and/or Java and experience with multiple operating system platforms (Windows, Mac, Linux) are pluses.

To Apply

Submit your curriculum vitae, bibliography, and a detailed statement of how your expertise can contribute to the success of LSB to Ronald Germain, M.D., Ph.D., Chief, LSB, rgermain@niaid.nih.gov or 9000 Rockville Pike, MSC 0421, Building 4, Room 126, Bethesda, MD 20892-1892. Email is preferred. In addition, three letters of reference must be sent directly from the referees.

For more information, visit LSB and Careers at NIAID.

HHS, NIH, and NIAID are equal opportunity employers.

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