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Postdoctoral Fellow in Bioinformatics and Systems Biology
TGen in the Phoenix, Arizona
 
 
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Date Posted July 15, 2019
Category
Postdoctoral-Biology
Employment Type Full-time
Application Deadline Open until filled
 
 
 

Job Title

Postdoctoral Fellow in Bioinformatics and Systems Biology

 

 

 

Location

Phoenix, AZ, US

 

 

 

Organization Name

Schork Lab

 

 

 

Department Description

 

 

 

 

 

       

 

 

 

Brief Description

 

 

 

 

 

Dr. Nicholas Schork, Director of Quantitative Medicine at TGen, seeks a creative, independent, and highly motivated researcher interested in developing and applying novel and comprehensive annotation methods for genes and genetic variants in a wide variety of contexts, in particular disease diagnosis, therapeutic choice and cross-species (orthology) disease model analyses. The methods to be developed will consider modeling the influence of genetic variants on gene function and the functional effects of genes that can be reconciled across species.

   

 

 

 

Detailed Description

 

 

 

 

 

Brief Professional Activities Description                             

The post-doctoral fellow will have the opportunity to develop and evaluate computationally-based gene and genetic variant functional models in a collaborative environment that includes basic scientists, computational and quantitative scientists, biomedical technology developers, evolutionary biologists and clinicians, including those at TGen's affiliated institution, the City of Hope Hospital in East Los Angeles, as well as its many other partner institutions.

 

Variant functional annotation and orthology assessment methods are being developed rapidly. In addition, databases harboring information about the likely influence of genes and genetic variants in pathway and network contexts exist and continually being refined (e.g., the GTEX databases). Finally, large-scale functional studies using emerging model systems and in vitro assays such as CRISPR screens are being pursued to generate information that needs to be mined and reconciled. The challenge will be to integrate all of this into more comprehensive models of gene function and leverage them to make claims about the health status of individuals, the likely benefits of specific gene-targeting therapeutics, and the utility of specific model systems to understand disease pathogenesis. In this context, the proposed activity and research will involve:

  • Modeling and the influence of genetic variants on gene expression, protein structure and function, splicing, and other molecular physiologic processes

  • Considering the combined influence of multiple genetic variants on gene function

  • Developing models that consider compensatory and feedback mechanisms in networks and biological processes

  • Developing methods that leverage sequence orthology and homology across different species to assess function

  • Contributing to the development of software and webtools that implement the models to be developed

  • Participating in the implementation and evaluation of the application of the models to be developed

  • Present the models at major conferences and in peer-reviewed publications

TGen has access to some of the largest and fastest computing systems in the world that can be leveraged in the proposed research. In addition, the development of the proposed models will likely have a broad, international impact, given the amount of attention genetics and genomics research is receiving, so the research to be pursued will be highly visible and competitive, and as a result could propel the career of an independently-minded researcher looking to make an indelible impact on a biomedical science.

 

 

 

 

Job Requirements

 

 

 

 

 

  • Ph.D. (completed or near completion) in Bioinformatics, Systems Biology, Computational or Quantitative Biology, Biostatistics, Comparative Biology, or a related field.

  • Computer programming, R, scripting languages, and biological database query skills

  • Familiarity with genomics and comparative biology

  • Experience with large biological data sets

  • Excellent written and verbal communication skills

  • Willingness to work in collaborative settings

  • No publication record is required, but a publication track record is preferred

 

 

 

Additional Details

 

 

 

 

 

Please submit your CV, a statement about your research interests and experience, and the names of three references.

 

 

 

 

 

 

 

 

 

Currency

USD

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