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: https://bioconductor.org/packages/pathview/ https://bioconductor.org/packages/gage/ https://pathview.uncc.edu/ 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 http://advances.sciencemag.org/content/4/4/e1701799.full
Develop statistical and computational methods for big data analysis, integration and visualization. S/he will work on a range of high throughout omics (genome, transcriptome, metabolome etc) data, and cutting edge projects on complex diseases and biomedical problems.
Minimum Experience / Education:
Education: PhD (or Master + 3 years working experience) in bioinformatics, computer science, statistics or related fields.
Preferred Education Skills and Experience:
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
UNC Charlotte is North Carolina's urban research institution. Our campus is located in the piedmont of North Carolina, just two hours from the mountains and three hours from the Atlantic Ocean. A large public university with a small college feel, more than 27,200 students consider UNC Charlotte’s 1,000-acre campus their home away from home.