A postdoctoral research associate position in bioinformatics and computational systems biology is available at the University of South Dakota (USD). The research projects are within the general areas of bioinformatics, computational systems biology, biological big data mining, comparative genomics, and functional genomics. The postdoc will perform the research involving the development and application of new algorithms and computational methods for analyzing high-throughput and large-scale biological data, including various omics data obtained from next-generation sequencing platforms.
The postdoc will be housed in the Bioinformatics and Computational Systems Biology lab at the University of South Dakota and will work under the supervision of Dr. Erliang Zeng (http://www.usd.edu/arts-and-sciences/biology/erliang-zeng.cfm ). The postdoc will have opportunities to collaborate with biologists and computer scientists, and will work in a multidisciplinary environment. This is a one-year position with renewal possible pending funding and satisfactory performance.
An ideal candidate should have a PhD degree in a quantitative discipline (Computer Science, Mathematics, Statistics, or similar one) or bioinformatics, or degrees in biology, life science, or biomedical science with rigorous training or experience in quantitative discipline/bioinformatics. Demonstrated statistical and computational programming experience, including knowledge of major programming languages (R/Matlab, Perl or Python, C/C++ or Java, and SQL) is desirable. Experience in the analysis of high-throughput omics data is a plus.
Applicants must provide a current curriculum vita, statement of research, and at least three references. Applicants must apply online at https://yourfuture.sdbor.edu. The posting number is 0006791.
Review of applications will begin on December 30, 2014 and continue until the position is filled.
The University of South Dakota is an Affirmative Action/Equal Opportunity Employer committed to increasing the diversity of its faculty, staff and students.