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Molecular Immunologists in the Benoist/Mathis
laboratory apply high-throughput techniques to elucidate the basic mechanisms
of immune tolerance and autoimmunity. We are particularly interested in
the application of DNA micro-array technology to understand the network
of genetic interactions that control immune responses. These studies creates
very large sets of multidimensional data, which require sophisticated computational
analyses to recognize patterns and gene clusters, as well as novel representations
to display these results.
Together with biologists and computational scientists in the lab, you
will use and develop software tools to decipher and portray these data,
guide and train biologists in the lab in the use of these computational
techniques. You may also participate in the development of data warehouse
structures for data integration and mining, in relation with other computational
biologists in the Joslin Diabetes Center's Bioinformatics Core and with
other Bioinformatics groups on campus.
We are seeking individuals with a solid foundation in computer sciences
and programming, with knowledge of tools such as C++, PERL, S+, R, Java,
open-source or proprietary SQL. A BS with a major in computer sciences
is required. Some biological background would be useful, but not essential.
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