[Molecular-evolution] Position in computational genomics

Julia Krushkal jkrushka at utmem.edu
Tue Oct 18 09:52:33 EST 2005

This position will be in the laboratory of Dr. Julia Krushkal 
(jkrushka at utmem.edu) or Dr. Ronald Adkins (radkins1 at utmem.edu) at the 
University of Tennessee Health Science Center in Memphis.

PIN Number: #18049

JOB SUMMARY: The Data Analyst will be responsible for the handling and
analysis of genetic data from a collaborative research study studying the
genome potential of environmentally important microorganisms, species of
Geobacter. The duties including management and manipulation of large data
sets that include genome sequences, microarray data, and proteomics data;
writing computer programs to handle the data; running available public and
commercial bioinformatics software to analyze the data; statistical
analysis; and preparation of results for scientific publication. The Data
Analyst will provide automated support of genetic analysis and data
handling, as well as assist with data analysis for the Geobacter project.
This position will also provide technical assistance to study staff on
genome data handling, analysis, and formatting, and on information systems,
and will be responsible for conducting literature reviews and assisting in
manuscript and grant proposal preparation and publication of study results.
REQUIREMENTS: Bachelor's Degree in Biology, Biostatistics, Genetics,
Epidemiology, Microbiology, Computer Science, Engineering, or other
technical or biomedical discipline; three (3) years experience in data
analysis with a knowledge of programming or bioinformatics or biostatistics;
fluent in one or more computer programming and statistical languages on
personal computer platforms or workstations: C, C++, Perl, Fortran, Java,
Unix Shell Scripting, SAS, SPSS, Splus. Must be familiar with common
database applications or with tools of genome or microarray analysis,
computer skills and excellent written and verbal communication skills. OR
Master's Degree in above fields and one (1) year of data experience and
above mentioned knowledge and job skills. OR a combination of college
coursework in above fields and work experience in data analysis. TRANSCRIPT

Interested individuals should apply through the University of Tennessee
Human Resources. The application form and the instructions on how to apply
can be obtained from the UT Human Resources web site at
Applicants should refer to the position number 18049
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