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Opportunity: Postdoc Position in Molecular Evolution, Genomics and BIOINFORMATICS (#0080798) @ University of Massachusetts Lowell -- Lowell, MA (US)
Submitted by Alex Lancaster; posted on Tuesday, February 19, 2013
BACKGROUND:
A full-time postdoctoral researcher position is available to work in the laboratory of Jessica Garb in the Department of Biological Sciences at the University of Massachusetts Lowell. The appointment is funded through an NIH grant aimed at using transcriptomic data to characterize the molecular diversity of spider venoms and to understand the evolutionary genomics of venom toxicity. The position is available immediately, or the start date can be flexible to accommodate the best-suited candidate. The initial position is for one year, with a second year of employment conditional on performance in the first year. Work for this position will largely involve analyzing large cDNA sequence datasets generated with Illumina RNA-Seq methods. The candidate will ideally have experience using bioinformatics tools to manipulate large sequence datasets. The work will identify tissue-specific patterns of gene expression and include a variety of molecular evolutionary analyses. The candidate will also have the opportunity to get involved in several other on-going projects in the laboratory related to the evolutionary genomics of spider venoms and/or silks.

RESPONSIBILITIES:
Major responsibilities for this position include data collection, analysis and writing of manuscripts, and progress in these areas will determine continuation of the appointment. The position will also involve some student mentoring, organization of laboratory activities related to the project, and weekly meetings with the PI and project collaborators.

REQUIREMENTS:
* Ph.D. in Biological Sciences, Computer Science or related field (must have Ph.D. by the time of appointment)
* Fluent in English
* Demonstrated experience writing scientific manuscripts
* Ability to think and work independently, and also to work well in a group
* A strong interest in integrating genomic, evolutionary and organismal biology
 

PREFERENCES:
* Experience and comfort with computational skills, or willingness to self-teach, especially in a UNIX/Linux environment, and the use, modification and implementation of bioinformatics scripts in languages such as Python and Perl preferred 
* Experience with analyzing Illumina or other next-generation sequence data (e.g., assembly and annotation methods) a plus
* Experience with population genetic and phylogenetic methodology a plus

LOCALE:
The University of Massachusetts Lowell (UML) campus is located in northeastern Massachusetts, 20 miles north of the vibrant academic and commercial biotechnology centers of Cambridge and Boston. UML is a full research and teaching university with over 16,000 undergraduate and graduate students. Lowell is within commuting distance of the Cambridge/Boston area and the historic city of Lowell is rich in cultural and academic offerings.

HOW TO APPLY:
Applications must be submitted through the UML human resources jobs website (https://jobs.uml.edu job reference 0080798) at the following url:
[link]

The application process through the above URL will require a cover letter describing relevant experience and research interests, curriculum vitae, sample(s) of scholarly work/publication, and the names and contact information of three references. Review of applications will continue until March 15, 2013, or until the position is filled. However, the position may close when an adequate number of qualified applications are received.

Please direct questions about the position to Jessica_Garb[at]uml.edu

DEADLINE:
Review of applications will continue until March 15, 2013, or until the position is filled.

POLICY:
The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, and promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and identify your strengths in this area.

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