The NIH Center for Human Immunology, Autoimmunity and Inflammation (CHI) is a trans-NIH Institutes initiative to study the human immune system in health and disease, using high-throughput multi-dimensional assays and integration of dense data sets with advanced computational approaches.
CHI is recruiting an individual who will have responsibilities in the broad area of computational analysis of diverse data sets from high-throughput assays, such as microarrays, highly-density flow immunocyte phenotyping, multiplex analysis of serum cytokines and proteins, and SNP genotyping. The position involves close collaboration with multiple experimentalists to answer biological questions of interest by advising on study structure and data collection procedures such as batch design to optimize data output for subsequent analysis, performing quality control of experimentally generated data, conducting relevant statistical analyses and modeling of the processed data, and developing and employing advanced bioinformatics methods to integrate the different data sets, including analysis results from CHI studies and knowledge from the literature and public databases. The Staff Scientist position is located in CHI's Bioinformatics Laboratory, and will be part of an existing group that conducts computational activities in support of CHI protocols. To facilitate efficient data retrieval and data mining, this group will build databases and software infrastructure to load, store and organize the diverse data sets, associated metadata, and analysis results from the high-throughput assays. The group also conducts advanced bioinformatics and systems biology research, such as developing novel statistical methods for the analysis and integration of high-dimensional data sets to gain biological insight. Because the computing infrastructure of CHI is by necessity very inhomogeneous, the incumbent will likely need to develop or work with custom hard- and software solutions to accomplish these various goals.
The ideal candidate will have a Ph.D. in computational biology, bioinformatics, systems biology, or relevant disciplines. Three+ years of hands-on research experience with the analysis of high-throughput data sets would be a strong plus. He/she should possess a sound knowledge of statistics and quantitative modeling and 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, as well as experience with multiple OS platforms (Windows, MAC, Linux) are pluses.
How to Apply:
Applicants may be U.S. Citizens, resident aliens, or non-resident aliens holding or eligible for a valid employment visa. Applications must be accepted until the position is filled. Please submit a curriculum vitae and brief statement of how your experience relates to the needed qualifications along with 3 letters of reference to: Neal S. Young, M.D. Director CHI c/o Christen Sandoval Building 15F2 MSC 2664 NIH Bethesda MD 20892, or electronically to firstname.lastname@example.org.
Additional information about CHI is available online at