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  • Research Scientist in Biostatistics/Bioinformatics

    UNC Charlotte Dept. of Bioinformatics is seeking a full time research scientist in Biostatistics/Bioinformatics. The incumbent will develop statistical and computational methods for big data analysis, integration and visualization. S/he will work on a range of high throughput omics (genome, transcriptome, metabolome etc) data, and cutting edge projects on complex diseases and biomedical problems.

    We integrate and analyze a variety of big data sets from biomedical research & applications. And we develop statistical/analytical methods, and implement them into software packages or web servers. Some of them are widely used by tens of thousands of scientists over the world:
    Pathview is a tool set for pathway based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, Pathview also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.

    GAGE is a published method for gene set (enrichment or GSEA) or pathway analysis. GAGE is generally applicable independent of microarray or RNA-Seq data attributes including sample sizes, experimental designs, assay platforms, and other types of heterogeneity, and consistently achieves superior performance over other frequently used methods. In gage package, we provide functions for basic GAGE analysis, result processing and presentation. We have also built pipeline routines for of multiple GAGE analyses in a batch, comparison between parallel analyses, and combined analysis of heterogeneous data from different sources/studies. In addition, we provide demo microarray data and commonly used gene set data based on KEGG pathways and GO terms. These funtions and data are also useful for gene set analysis using other methods.



    We apply big data and advanced analytics to solve important and complex problems in biomedicine. For example, we recently were working on autism, a complex brain disorder, using big data + novel analytics approach.


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

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