Bioinformatician

Organization: 
Virginia Tech/Virginia Bioinformatics Institute
Job Location: 
Blacksburg, VA
Salary: 
commensurate with experience
Benefits: 

as outlined in faculty handbook

Job Description: 

The Bioinformatician will serve as a member in VBI’s Data Analysis Core (DAC). In achieving the Institute’s mission, the DAC focuses its multidisciplinary research on working with PI’s to apply computational biology and informatics tools to PI focused projects where the infrastructure or expertise are beyond what is feasible or logistically appropriate to duplicate in individual PI labs. The Bioinformatician will be expected to contribute to collaborative research involving human disease and biotechnology, and genetics, genomics and proteomics research.

The Bioinformatician will work with a team of scientists and programmers on various projects involving basic clinical research and clinical operations, especially Next Gen Sequencing data and microarray data. The Bioinformatician will be expected to work collaboratively and participate in the development of publications for peer-reviewed journals as well as on grants proposals to funding agencies and other entities.

In accordance the university hiring procedures for non-student positions, this position will require a conviction check prior to beginning an employment engagement.

Dependent on the qualifications of the successful candidate, the research faculty rank may be either Research Associate or Senior Research Associate. For information regarding the university’s faculty ranks, please review the Faculty Handbook at http://www.provost.vt.edu/faculty_handbook/faculty_handbook.html

Requirements: 

The successful candidate will possess a MS in Biological Sciences or equivalent field. Experience in programming in R, Perl, Java and Python on Linux clusters is a must as well as demonstrated proficiency working with bioinformatics tools. Proven organizational, time management, and multi-tasking skills and creativity, independence, high motivation and good communication skills are required. The successful candidate will also demonstrate ability to work collaboratively and effectively with researchers and scientists from a wide range of disciplines and capable of working a team environment and a strong inclination for trans-disciplinary science.

Preference will be given those candidates possessing a PhD in Biological Sciences or related field (required for the rank of Senior Research Associate). Knowledge or experience with CLIA/CAP regulations (required for the rank of Senior Research Associate). Experience in developing publications based on individual research with demonstrated record of publication in peer-reviewed journals (required for the rank of Senior Research Associate) coupled with a demonstrated publication record in disease biology.

Contact Information: 

Interested candidates should submit a current CV, letter of interest, and listing of professional references upon applying through www.jobs.vt.edu posting number SR0130061. To be considered, applications must be received through the website link provided and not through alternative channels. Review of applications will begin on June 3, 2013.

Compensation commensurate with experience

To learn more about VBI, please visit us at www.vbi.vt.edu

Equal Opportunity/Affirmative Action Employer

About Our Organization: 

Established in July 2000 at Virginia Tech, the Virginia Bioinformatics Institute (VBI) is a world-class research institute dedicated to the study of the biological sciences. The Institute’s mission is to solve some of society’s most important problems in life science through transdisciplinary research and education.
By using bioinformatics and combining transdisciplinary approaches to information technology and biology, researchers at VBI interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental and agricultural sciences. Work at VBI involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, medical informatics, biochemistry, systems biology, statistics, economics and synthetic biology. Transdisciplinary research at the institute encompasses scientific program areas that include bioinformatics, cellular networks, complex systems and genomes. The institute develops genomic and bioinformatic tools that can be applied to the study of infectious diseases as well as the discovery of new vaccine, drug and diagnostic targets.