Bioinformatics_Scientist_Position_at_TAMU

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Open Bioinformatics Scientist Position at TAMU
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Texas A&M AgriLife Genomics and Bioinformatics Service has an opening for Bioinformatics
Scientists. This is a critical research position, the successful candidate will develop and deploy
bioinformatics tools to aid the plant breeding programs across Texas A&M AgriLife. The
position requires a significant bioinformatics experience focused on next generation sequencing,
with a strong educational background in programming, statistics, and genetics. The position will
focus on development of tools for the analysis of genotyping-by-sequencing data, and genotype
to phenotype predictive modeling in plants.
Education, Skills and qualifications
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Ph.D. in bioinformatics, computational biology, plant breeding & genetics, or a closely
related discipline
Working knowledge of quantitative, population and mendelian genetics.
Prior experience working in plant breeding or genetics.
Significant bioinformatics experience using command-line tools in analyzing nextgeneration sequencing data, including data quality control, alignment, assembly,
annotation, etc.
Strong understanding of current next generation sequencing technologies
Proficiency in at least one of the compiled programming languages
Expert proficiency in scripting languages: Python, Unix Shell – AWK, sed, etc.
Experience with statistical programming language R. Familiarity with Bioconductor,
especially common NGS packages.
Strong statistical background. Experience with GWAS, QTL mapping, generalized linear
models and linear mixed models would be preferable.
Major responsibilities
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Performing genotype-by-sequence and population analysis.
Developing new bioinformatics tools for marker-assisted-selection
Pursuing external funding with plant breeding teams across AgriLife.
Providing consultations/training to the faculty/researchers/students
The candidate shall be a member of and participate in the Center for Bioinformatics and
Genomics Systems Engineering (CBGSE).
Please go to the following website to apply:
https://greatjobs.tamu.edu/applicants/jsp/shared/frameset/Frameset.jsp?time=1437602721214
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