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Job: Research Scientist in Biostatistics/Bioinformatics at UNC Charlotte, NC, USA (updated)

UNC Charlotte Dept. of Bioinformatics is seeking a full time research scientist in Biostatistics/Bioinformatics. 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/2016/05/11/052878
http://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 or git
  • R package (or software) development is a plus

Other qualifications:

  • Excellent communication and problem-solving 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 + 3 years working experience) in statistics/biostatistics, bioinformatics, computational genetics, computer science, or related fields.

Salary and benefits:

Salary $60,000-80,000 depending on experience, full benefit package, may sponsor H1B visa

Start Date:

As soon as possible

Other openings:

In addition, we also have postdoc positions and PhD student assistantships for those with less experience.

*Application:

Please send a resume, a short cover letter (optional) and the names of 2-3 references to: weijun.luo[AT]uncc.edu

statistics genetics genomics r

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