Rails Job

RESEARCH GENETICIST / COMPUTATIONAL BIOLOGIST (Postdoctoral Research Associate)

Posted 5 months ago at 19 February 2010

Description:

The position is located in the Center for Medical, Agricultural, and Veterinary Entomology, Imported Fire Ant and Household Insects Research Unit at Gainesville, Florida. The researcher will interact closely with a dynamic group of researchers (including collaborators from University of Lausanne and elsewhere) with expertise in population and evolutionary genetics, functional genomics, and bioinformatics. The incumbent will be a member of a team investigating the population and evolutionary genomics of fire ants through large-scale analysis of whole-genome sequence data. The project will involve comparative genomic studies in fire ants as well as across Hymenoptera, design and use of SNP markers for genetic mapping and population genomic studies, characterization and study of genomic sequence for features of interest (e.g., repetitive elements, regulatory regions), and numerous molecular evolutionary studies (e.g., evolution of gene families, origin and fate of gene duplications). The incumbent will be responsible for providing bioinformatics support to the research group by participating in several of the above studies and will interact closely with other collaborators with bioinformatics experience. The incumbent will have the opportunity to pursue additional molecular evolutionary genomic studies of fire ants, including one or more laboratory experiments, under the supervision of the lead scientist and will be responsible for data analyses and writing scientific manuscripts for publication.

Required skills:

This position requires a Ph.D in Genetics, Bioinformatics / Computational Biology or a related field of study that has equipped the applicant with the necessary knowledge, skills and abilities to perform the duties and responsibilities of the position. The applicant must have an interest in population and evolutionary genetics and ideally should be familiarized with bioinformatics approaches relating to population and evolutionary genetics as well as experience analyzing next generation sequencing data. Applicants with a strong computational background should have demonstrated experience (e.g., refereed publications, Ph.D. thesis) in at least one programming language (Python/Perl/Ruby, C/C++), as well as experience in analysis of genomic (or transcriptomics) data and whole-genome level study. Applicants with mainly an experimental background should have demonstrated experience in standard molecular genetic techniques (PCR, fluorescent-based genotyping and next generation DNA sequencing, gene expression, bioinformatics) as well as experience in basic programming (in any language) and large-scale data analysis (e.g. high-throughput genotyping, comparative genomics).
Applicants must meet basic Office of Personnel Management (OPM) Qualification Standard’s requirements of the scientific discipline necessary to perform the duties and responsibilities of the position.

This position has a positive education requirement. You must submit a copy of your academic transcripts OR a list of college courses with credit hours, dates completed, and grades received to verify education when applying for this position. If this information is not provided, your education may not be appropriately evaluated and you may lose consideration for this position. If you are selected for this position, you will have to provide an official copy of your transcripts prior to entering on duty. Application materials will not be returned.
Education completed in foreign colleges or universities may be used to meet the above requirements if you can show that the foreign education is comparable to that received in an accredited educational institution in the United States. It is your responsibility to provide such evidence when applying. Please visit the Office of Personnel Management’s website at http://www.opm.gov/qualifications/SEC-II/s22-e4.htm#e4a for additional information on this topic.

Desired skills:

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