Postdoctoral fellow. Michigan State University

Duties & Responsibilities: The statistical genetics research group at Michigan State University invites applicants for a 2-3 year Postdoctoral Fellow position focusing on statistical analysis of next-generation sequencing data. The successful applicant will work with Dr. Yuehua Cui to develop novel statistical methods for integrative genomic data (including whole-genome sequencing, RNA-seq, ChIP-seq and copy number variants) analysis, collaborating with scientists from MSU and University of Wisconsin to carry out real data analysis focusing on a potato population. Specifically, the fellow will: (1) Analyze DNA variants, RNA-seq, ChIP-seq and copy number variants data, and identify novel features and variations in genomic levels; (2) Develop novel statistical and computational methods to integrate various sources of “omics” data to elucidate the genetic and epigenetic bases underlying the variation of plant vigor in potato. Review of applications begins immediately.

Position Qualifications: Applicants should have a doctoral degree in Statistics/Biostatistics, Computational Biology, Bioinformatics or other relevant discipline with strong quantitative research background; Strong background in statistical modeling of large scale high dimensional data; Strong computational skills (R or C/C++ ) + (Python or Perl) in Unix/Linux environment; Excellent written and oral communication skills. Experience of analyzing next generation sequence data is a plus.

Salary Range: Very competetive

Benefits: MSU benefits (http://www.hr.msu.edu/benefits/index.htm)

Web Site: http://www.stt.msu.edu/~cui/

Application Address: To apply, please send CV, statement of research interests, contact information for three references, and 1-3 manuscripts to Dr. Yuehua Cui (Department of Statistics and Probability, Michigan State University)

Contact Email: cui@stt.msu.edu

Application Deadline: 03/22/2013