Postdoctoral Position in computational regulatory genomics @ University of Chicago - NaVeeNBioinFoRmaTiCs-any thing about bioinformatics
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Postdoctoral Position in computational regulatory genomics @ University of Chicago

Written By Naveen Kumar on Sunday, 13 October 2013 | 14:16:00

















 

 

Job Description

A position is available for a highly motivated postdoctoral researcher in the group of Barbara Stranger at The University of Chicago, in the Section of Genetic Medicine, and the Institute for Genomics and Systems Biology. Current research in the lab includes (1) transcriptional network and pathway analysis; (2) comparative and population genomics; (3) functional genomic data integration and data mining; and (4) detection of disease susceptibility genes/networks. Project topics include understanding the role of genetic and epigenetic variation on transcriptional regulation in healthy human cohorts, the contribution of that variation to higher order phenotypes including immune-mediated diseases, adverse pregnancy outcomes, and cancer, and elucidation of the evolutionary forces shaping functional variation in humans.

RESPONSIBILITIES: 
The researcher will be involved in analysis of a variety of types of human genomics data, including DNA-Seq, RNA-Seq, SNPs, DNA methylation, etc. Current research in the lab includes (1) transcriptional network and pathway analysis; (2) comparative and population genomics; (3) functional genomic data integration and data mining; and (4) detection of disease susceptibility genes/networks. 

Project topics include:  
  1. understanding the role of genetic and epigenetic variation on transcriptional regulation in healthy human cohorts, 
  2. the contribution of that variation to higher order phenotypes including immune-mediated diseases, adverse pregnancy outcomes, and cancer, and elucidation of the evolutionary forces shaping functional variation in humans. 
The successful candidate will create automated pipelines for these purposes, and will create data processing programs and tools for general use.

MINIMUM QUALIFICATIONS:
  1. A Ph.D. in bioinformatics, computer science, genomics, population genetics, systems biology or other relevant fields of statistical biology.
  2. Must be familiar with existing genomics software and data archives.
  3. Research experience (with strong first-author publications) in computational genomics, molecular evolution, population genetics, data integration, or a closely-related field. 
  4. Strong analytical, statistical, quantitative, and computational/programming skills, ideally in C or C++ as well as in scripting languages such as perl, matlab, or R. Should be comfortable in a with large data sets, computer clusters, and databases.
  5. Experience in analysis of DNA-seq, RNA-seq, and/or CHiP-seq data, as well as experience constructing complex biological networks. 
 
PREFERRED QUALIFICATIONS:
  1. Background in population genetics.
  2. Knowledge of systems biology.
  3. Candidates with a multidisciplinary background, spanning both life sciences and quantitative sciences are especially encouraged to apply.
 

To Apply

Please send the following in PDF format to Barbara Stranger (bstranger AT uchicago.edu):
1. A curriculum vitae, including names of 3 referees.
2. A brief statement describing current and future research goals
Our lab website is currently under construction, but informal inquiries are welcome.
http://www.igsb.org/labs/barbara-stranger-lab/




 




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