DESCRIPTION

BIONFORMATICIAN Staff Associate position available to study the molecular genetics of chronic kidney disease with special focus on copy number variants. The projects will employ state of the art genomics and bioinformatics approaches (DNA microarray and whole exome and genome NGS) to identify genomic disorders and susceptibility genes for chronic kidney disease. The position also involves serving as liaison with genotyping and sequencing centers and collaborators for retrieval and management of raw data.

The position requires excellent communication skills and the ability to work in a collaborative, interdisciplinary environment. It also requires experience working in a Linux/Unix environment, bash scripting and advanced programming skills in R and Python for bioinformatics applications; Perl and/or C/C++ are a plus. Literacy in Genetics and/or Statistics are highly desirable for this position.

Candidates with demonstrable working experience in academia or the private sector developing and/or working with microarray and NGS analysis and annotation pipelines and familiarity with, idat, cel, plink, fastq, bam and vcf files, will be given priority. Minimal requirement: Master's degree in Bioinformatics, Statistics or CS, or B.S degree with at least 3 years of work experience in programming and/or microarray and/or Next-Gen sequencing studies.

HOW TO APPLY

Please send curriculum vitae and names of three references to Dr. Miguel Verbitsky, mmv2003[at]cumc.columbia.edu, Columbia University in the City of New York, Department of Medicine, Division of Nephrology, or apply on the company's website: http://pa334.peopleadmin.com/postings/2532

POLICY

Columbia University is an Equal Opportunity/Affirmative Action Employer.