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Analyst: Statistical Genetics and Computational Biology
Posted: July 25, 2014
Expires: September 23, 2014
Science jobs from Columbia University:
The work performed will broadly involve human genetic investigations of different forms of kidney disease, and is directly relevant to clinical medicine. The applicant will perform analysis of genome-wide SNP genotyping data with appropriate QC measures and of NextGen sequencing data, including exome and RNA-seq.
Requires bachelor's degree and relevant experience in biostatistics, statistical genetics, bioinformatics, computational biology, genetics or similar field of study. Graduate degree preferred and may substitute in part for experience.
Strong programming skills in Unix shell scripting as well as R, Perl, Python, or similar are a plus. Experience in GWAS data analysis, proficiency with PLINK and R statistical analysis, experience in NGS data analysis, ideally including exposure to exome and RNA-seq data, familiarity with the tools for genome and transcriptome interpretation, familiarity with the public resources such as the 1000 Genomes Project, HapMap, ENCODE, genome browsers, etc. Familiarity with the statistical principles and methods relevant to computational genomics. Exposure to disease association studies, population genetics and/or functional genomics.
Must be collaborative and able to work in a fast-paced environment with an ability to multitask. Strong creative thinking and problem solving skills. Team oriented with excellent written and verbal communication skills.
For more information, please contact Dr. Krzysztof Kiryluk: firstname.lastname@example.org
Columbia University is an Equal Opportunity/Affirmative Action employer.
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