Research Associate Biostatistics/Bioinformatics – Charlotte, North Carolina

Job ID: 1401622735
Job date: 2016-10-26

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Job Description:
Research Associate Biostatistics/Bioinformatics Full Time UNC Charlotte Department of Bioinformatics is seeking to hire a full time Biostatistics/Bioinformatics Scientist. The incumbent will develop statistical/computational methods/tools for high throughput omics (genome, transcriptome, proteome, metabolome etc) data integration, analysis and visualization; apply them to complex diseases/traits and biomedical problems. He/she will participate in the Pathview project. Pathview is an open-source package widely used for based pathway based analytics and visualization. For more information about the research in our group:http://biorxiv.org/content/early/2016/05/11/052878http://bioconductor.org/packages/pathview/http://bioconductor.org/packages/gage/ http://pathview.uncc.edu/ Technical skills:

  • Solid statistics training
  • Genetics/genomics data analysis (esp. GWAS, Whole Genome/ Exome Studies), NGS data analysis, sequence analysis
  • R/Bioconductor
  • Unix/Linux shell
  • Python or Perl
  • Version control: svn and git
  • R package (or software) development is a plus
Other qualifications:
  • Excellent communication and problemsolving skills, attention to detail
  • Ability to work independently and in a team
  • Self-motivated and disciplined, time and project management skills
  • Enjoy computational/statistical method development, data analysis
  • Proven research/development experience, publication records
Education: PhD (or Master + proven working experience) in statistics/biostatistics, bioinformatics, computational genetics, computer science, or related fields. Salary & benefits for the Research Associate Position:Competitive package Start Date: As soon as possible Application/inquiry: Preliminary inquires about the position can be made to Weijun Luo via email weijun.luo@uncc.edu Please include a short cover letter, CV and the names of 2-3 references. Applicant can submit a formal application electronically by clicking on the 'Apply' button EHRA Staff (position 1047).


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