| Company Information:
The Center for Statistical Genetics is an interdisciplinary program which seeks to encourage research and training at the interface between human genetics and the mathematical sciences. The goals of the Center for Statistical Genetics are to: * Build an intellectual community of faculty and students * Promote methodological research to develop useful statistical and mathematical models and methods for genetic studies * Foster the use of innovative models and methods to address problems in genetic studies of human health and disease * Encourage collaboration and technology transfer between academia and private industry * Provide interdisciplinary training to students and fellows * Generate financial support for the research and training in statistical genetics at Michigan The human genome project is changing the practice of medicine and public health, and genetics is playing an ever more central role in all the biomedical sciences. This expanding role includes the mapping and sequencing of the human genome and the genomes of other organisms, the identification of all human genes and the cataloging of all common human genetic variants, the development of methods to assay the expression of many genes simultaneously, the investigation of the molecular evolution of human genes, and the translation of the resulting knowledge to address questions of human health and disease. These developments present remarkable opportunities for the prevention and cure of human disease, but require investigators working at the interface between human genetics and the mathematical sciences.
Position Title:
Scientific Programmers
Duties & Responsibilities:
Help design, implement, and test computationally-efficient algorithms for management, checking, and analysis of genetic data; provide technical advice to faculty, students, and staff; and assist in the execution and completion of scientific research projects.
Position Qualifications:
Necessary technical qualifications for the position include excellent C/C++ programming skills, a Bachelor's degree in Computer Science or related discipline or equivalent practical experience, and an interest in working on cutting edge computational and statistical problems in human genetics. Desired qualifications include knowledge of the Linux/Unix environment and its administration, an SQL database system, STL/BOOST, parallel/distributed processing, machine or assembler language, Perl/Awk/Unix shell scripting, and the Trolltech/KDE Qt toolkit, as well as a strong background in statistics and mathematics and knowledge of genetics. Necessary personal qualifications include a strong work ethic, flexibility in adapting to changing research needs, and the ability to work independently combined with willingness to work in a highly interactive and collegial group. This is an opportunity to work in a challenging and rewarding research area that constantly poses new technical and computational problems. Generous salary support is available based on level of experience.
Salary Range:
Benefits:
The University of Michigan offers competitive salaries and excellent benefits.
Web Site:
http://csg.sph.umich.edu/
Application Address:
Applicants should send resume, academic transcripts (if graduated within the last 5 years), and at least three letters of reference to: Michael Boehnke and Gonçalo Abecasis, Co-Chairs, Statistical Genetics Search Committee, c/o Dawn Keene, Department of Biostatistics, School of Public Health, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109-2029.
Contact Email: dhke@umich.edu
Application Deadline:
03/15/2010
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