Research Collaborator for the development of statistical methods for the integration of NGS data

DEADLINE : 18/12/2013      POSTED : 18/11/2013

CATEGORIES : Computer/Info. Technology,Life Sciences

Application Submission is closed.

Job Description

The Genomics of Gene Expression Lab at CIPF (Centro de investigación Principe Felipe) is seeking one enthusiastic researcher in bioinformatics and/or biostatistic. As part of this project you will conduct research in the development of statistical methods for the integration of very different types of omics data. You will apply multivariate statistics, pathway analysis methods, linear models and other data mining approaches to develop integrative modeling. You will develop R packages implementing these technologies and create predictive models that will be tested in the laboratory by our partners. You will deal with data intensive omics databases.

Company Description

The Genomics of Gene Expression Lab at CIPF is committed with the development of computational approaches for the understanding of the functional aspects of gene expression. The GGE lab has recently been awarded with a FP7 EU grant for the development of statistical methods for the integration of NGS data. The project joins efforts from eleven international and multidisciplinary labs and companies to create the bioinformatics and biostatistical framework for the integrative analysis of different types of sequencing data, proteomics and metabolomics.

Education Level Required

Candidate should have a degree in computational sciences, biostatistics or bioinformatics. It is also recommended that he/she holds a Doctorate, MSc, PhD or equivalent in those fields.

Expected Experience

A strong background in statistics and proficiency in statistical programming languages (R or Matlab) is highly relevant, as well as knowledge of the molecular aspects of genome organization At least 2 years experience in NGS data analysis.

Link

http://www.cipf.es/documents/10157/e1a47504-5c23-49a3-8d97-b408baa7d649

Topics

Next Generation Sequencing (NGS),Bioinformatics,Biostatistics

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