Data Analyst
Virginia Bioinformatics Institute - Virginia

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How to Apply
Interested candidates should submit a current CV, letter of interest, and listing of professional references upon applying through be considered, applications must be received through the website link provided and not through alternative channels.

Position Description
The Data Analyst will serve as a member of the Medical and Informatics Systems Division (MIS) at Virginia Bioinformatics Institute (VBI) at Virginia. VBI’s mission is to solve society’s most important problems in the life sciences through transdisciplinary research and education. Research program in the Michalak lab focuses on comparative genomics, epigenetics, and evolution. It employs an integrative approach with a variety of molecular and computational techniques, including next-gen sequencing of entire genomes and transcriptomes, to rigorous understanding of how complexity elaborates from genomes through gene regulatory networks, and how it evolves over generations in response to the environment. Research in the Michalak lab has implications for cancer, chromosomal abnormalities, birth defects, and stress responses. The Data analyst will be expected to contribute to collaborative research involving genome sequence analysis, gene expression quantification, data mining, and database management.

The initial appointment will be a one-year, restricted appointment, and this position will hold the research faculty rank of Research Associate or Senior Research Associate. For more information on the university’s faculty ranks, please review the Faculty Handbook located at .

As part of on-going efforts to enhance safety and security at Virginia Tech university policy will require anyone hired into a non-student position on, or after, July 1, 2012 to complete a criminal conviction check before starting employment.

Compensation commensurate with experience

Equal Opportunity/Affirmative Action Employer

The successful candidate will have a M.S. in Biological Sciences, Computer Science or related field. Experience with programming in Perl and demonstrated experience working with informatics and biostatistics tools. The successful candidate must have excellent organizational, time management and multitasking skills, creativity, independence and high motivation and good communication skills.

Preferences will be given to candidates having a PhD in Biological Sciences, or related field and experience in developing publications based on individual research with demonstrated record of publication in peer-reviewed journals.