The position will be instrumental in working with Dr. Luo to integrate and analyze a variety of big data sets from biomedical research and applications. Develop statistical/analytical methods and implement them into software packages.
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.
Minimum Experience / Education:
PhD (or Master + 3 years working experience) in statistics/biostatistics, bioinformatics, computational genetics, computer science or related fields.
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.
Preferred Education Skills and Experience:
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.
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.