Bioinformatics Specialist @ Rockefeller University | all4bioinformatics
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Thursday, 15 August 2013

Bioinformatics Specialist @ Rockefeller University

The Rockefeller University

Department Description
Research in the laboratory of molecular biology aims to identify the genes, circuits, cells, macromolecular assemblies and individual molecules that contribute to the function and dysfunction of the mammalian brain. Scientists in the laboratory of molecular biology have developed a suite of novel approaches based on the manipulation of bacterial artificial chromosomes (BACs) to investigate the histological and functional complexities of the mammalian brain in vivo and to understand how these mechanisms become dysfunctional in disease.
Detailed Description
Will be responsible for detailed bioinformatics and biostatistical analysis of large scale next generation sequencing (NGS) data sets. Will be responsible for genomic alignments of all sequencing data as well as quality control, differential expression, comparative analysis, and other informatics. Will advise and work with investigators on proper experimental design and strategies for data analysis.
Job Requirements
Master's degree in science required; educational emphasis in biostatistics or bioinformatics preferred. Must be a professional informatics specialist with advanced training and be knowledgeable of various statistical packages and software, and programs used for NGS analysis, such as: Galaxy, Tuxedo suite, R, Star, Avadis NGS, GeneSpring GX and Ingenuity Pathways. A good working knowledge of Linux, Perl, and Python is also preferred.
Additional Details
The Rockefeller University is an Equal Opportunity Employer with a policy that forbids discrimination in employment (which includes hiring, terms and conditions, promotion, and termination) on the basis of race, color, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, military status, veteran status, or disability. The Administration has an Affirmative Action Program to increase the employment of women and members of protected classes in all areas of the University's activities.

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