The Luo group at UNC Charlotte Dept. of Bioinformatics is seeking a new member as a postdoc researcher. The new members 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 that maps, integrates and renders a large variety of biological data onto pathways, and produces interpretable graphs with publication quality. Pathview was quickly adopted and widely used by thousands of scientists worldwide. With a major NSF grant recently awarded, Pathview will be fully developed as a systematic solution for pathway based analytics and visualization.
For more information about the Pathview and related projects:
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.
Start Date:
As soon as possible
Application:
Please send a CV, a cover letter and the names of 2-3 references to: [email protected]
You may also include 1-2 representative papers/manuscripts.
For more information about the Pathview and related projects:
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.
Start Date:
As soon as possible
Application:
Please send a CV, a cover letter and the names of 2-3 references to: [email protected]
You may also include 1-2 representative papers/manuscripts.