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RESPONSIBILITIES
The Bioinformatics Core of the Vermont Genetics Network (VGN) at the University of Vermont (http://vgn.uvm.edu) has an immediate opening for a highly motivated bioinformatics research associate. The position is a non-tenure track faculty appointment. VGN is an NIH funded state program for building biomedical research infrastructure. The research associate will play a key role in metagenomics, genome assembly and annotation projects. The successful candidate will be expected to participate in multiple projects involving integration of high-volume data sets, design and implementation of data processing pipelines, and analyses of genomic and metagenomic data.REQUIREMENTS
- Ph.D. in Biological Science or related field, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired
- Programming experience in a UNIX/Linux environment using programming languages such as Perl, Python, or Ruby, and relational databases such as MySQL is required.
- The candidate should be familiar with widely used genomic databases and software.
- Excellent communication and interpersonal skills
PREFERENCES
- The ideal candidate will have experience in programming and high-throughput analysis of genomic data.
- Experience with genome assembly and metagenomic analysis is desirable.
- Candidates with training in statistics are highly desired.
- Demonstrated ability to work both independently and within a small team is desired.
HOW TO APPLY
Applicants must apply online at http://www.uvmjobs.com. Look for job requisition #032807 under the Dept. of Biology. Please include a cover letter highlighting key qualifications and interests, CV and a list of 3 references. Review of applications begins immediately and will continue until suitable candidates are found.
Posting submitted by Dr. James Vincent, Bioinformatics Director, Vermont Genetics Network (James.Vincent[at]uvm.edu, http://vgn.uvm.edu/bioinformatics).
The University of Vermont is an Affirmative Action/Equal Opportunity employer, is committed to increasing faculty diversity and welcomes applications from women and underrepresented ethnic, racial and cultural groups and from people with disabilities.
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