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Added on July 29, 2010.

Bioinformatics research associate for NIH Cancer Genome Atlas Project

Location : UNC Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA

Deadline for applications : unknown.

Description :

The Chiang lab is seeking a bioinformatics postdoc or research associate to join a dynamic new research group at the University of North Carolina. As part of a collaborative team at the UNC Lineberger Comprehensive Cancer Center, we will collect gene expression data on 2000 tumors per year for the NIH Cancer Genome Atlas project. We are recruiting a highly motivated team member to analyze Illumina next-generation sequence data from this project. The successful candidate will work independently to discover mutations and aberrant transcripts from tumors. This effort requires both the automation of third-party software, as well as code development to implement statistical tests and visualization tools. The candidate will generate reports to summarize these results and store them in a database. In addition, he or she will regularly communicate research findings to other scientists in the group. *Education Requirements* Applicants must have a Master’s degree in bioinformatics, computer science, statistics, electrical engineering, or a related field. A PhD degree is preferred. *Qualifications and Experience* Strong programming skills in C/C++ or Java are required, as well as a solid understanding of statistical methods. The applicant must demonstrate excellent communication skills and resourcefulness in working independently. Previous experience with mySQL, Oracle, R or MATLAB are preferred. The ideal applicant has at least 2 or more years of research experience with sequence analyses, microarray data and genomic databases. Contact Information UNC Lineberger Comprehensive Cancer Center Genetics Derek Chiang Tel. Number: 919-843-7887 FAX Number: 919-966-3015 http://chianglab.wordpress.com/ How To Apply: Contact Derek Chiang by email



The original source of this offer is ISCB - International Society for Computational Biology website.


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