Postdoctoral Fellowships in Statistical Genetics or Computational Biology, Columbia University, U.S.A. (2016)

The Division of Nephrology at Columbia University seeks highly motivated, independent but team-oriented post-doctoral research fellows with experience in the bioinformatic and statistical analysis of human GWAS and Next Generation Sequencing data.

The work will broadly involve human genetic investigations of different forms of kidney disease, and is directly relevant to clinical medicine. The applicant will be involved in the analysis of human genome-wide SNP and NextGen sequencing data (exome, whole genome, RNA-seq).

Requires a PhD degree in biostatistics, statistical genetics, bioinformatics, computational biology, genetics or similar field of study. Strong programming skills in Unix shell scripting as well as R, Perl, Python or similar. Experience in GWAS and NGS data analysis, exposure to exome and RNA-seq data, prior experience a molecular biology and nucleic acid research is a major plus. Familiarity with the tools for network analysis and genome/transcriptome interpretation. Familiarity with the statistical principles and methods relevant to computational genomics. Exposure to disease association studies, population genetics and/or functional genomics.

Further details:
http://www.universitypositions.eu