The Kansas State University Bioinformatics Center in Manhattan, Kansas, seeks to fill a new, service oriented, Bioinformatics Specialist position.

RESPONSIBILITIES:
The successful candidate will collaborate with faculty scientists on new bioinformatics research projects, apply existing bioinformatics tools to basic biological research, provide training and lead workshops in bioinformatics. Current projects at KSU include genomics, EST and gene expression analysis, lipidomic and genomic relational databases and data mining.

REQUIREMENTS:
M.S. in Computer Science or related field and demonstrated accomplishments in bioinformatics (e.g., developing Bioinformatics tools, data management, data mining, or database development and curation). Excellent oral and written communication skills in English, and the ability to work both independently and in collaboration with other scientists and students are required.

PREFERENCES:
Project management experience (e.g., supervising personnel, scheduling and monitoring projects to ensure accurate and timely completion, and effectively communicating with clients, colleagues and subordinates).

TERMS:
Applicants must be available to work in the United States by July 1, 2007. This full-time, 12-month, term position may be renewed annually contingent upon performance, need for services, and funding.

LOCALE:
Manhattan, Kansas

COMPENSATION:
Salary is commensurate with experience and education. This position is eligible for all benefits available to full-time employees.

HOW TO APPLY:
Send CV, statement of research interests, and names and contact information of three professional references by e-mail to dmerrill[at]ksu.edu or to:

Doris Merrill, Program Coordinator
Division of Biology, 104 Ackert Hall
Kansas State University
Manhattan, KS 66506-4901

DEADLINE:
Review of applications will begin May 31, 2007, and continue until the position is filled.

ABOUT US

Information about the K-State Bioinformatics Center and a complete position description may be found at http://www.Bioinformatics.K-State.edu.

The K-State Bioinformatics Center is supported by the Division of Biology and the Kansas Infrastructure Network for Biomedical Research Excellence (KINBRE, NIH-NCRR). The Center currently provides bioinformatics support to K-State researchers for EST sequence and microarray data analysis. GeneSpring software has been used for microarray data normalization, statistical inference and clustering analysis. With the anticipated accumulation of microarray data from insect genomics, a database system is needed for data management and integration. For spotted cDNA microarrays, the integrated database can provide information about the probe sequences and functional annotations, which may not be available in the public databases. On the other hand, the microarray data in the integrated database should provide valuable information about the expression patterns of insect genes.

For the Tribolium research community, the center has developed a comprehensive genome database (BeetleBase at http://www.bioinformatics.K-State.edu/BeetleBase/). BeetleBase was built using the Chado generic data model designed by FlyBase and Berkeley Drosophila Genome Project (BDGP). BeetleBase has been populated with various types of data, ranging from genomic sequences to mutant phenotypes of Tribolium. A relatively large dataset of Tribolium ESTs is also stored in BeetleBase. A web interface has been developed to allow public access to the integrated data in BeetleBase. In particular, the generic genome browser (GBrowse) is used as one of the interactive visualization tools of BeetleBase.

KSU is an equal opportunity employer and actively seeks diversity among its employees.