BACKGROUND:
The successful candidate will join the Bioinformatics Core of the Montana State University located in Bozeman MT. This person will be responsible for developing bioinformatics analysis tools as part of a team in support of data intensive biological research efforts.

RESPONSIBILITIES:
Tool Development: Under the supervision of senior engineers and scientists, the successful candidate will develop and maintain analysis pipelines using the tools and systems available at the Bioinformatics Core. This includes installing software and writing wrapper scripts to invoke the software to process data; writing documentation for the end users of these pipelines; managing genomics-related data generated and maintained at the Bioinformatics Core, including: loading and querying data from database systems, writing scripts to transform the data to necessary formats, and downloading and transforming genomic data maintained in public data repositories.

Database Development: The successful candidate will participate in teams developing databases in support of data intensive biological applications, including resource maintenance, and formulation of software, databases, and scripts enabling facile storage, retrieval and dissemination of biological data.

Research: The successful candidate will perform preliminary analysis of genomic data and format for use by other analysts or scientists. In particular, he or she will provide analysis of large scale array-based data (genomics, transcriptomics, protemics) to support the Bioinformatics Core team, and write or contribute to the writing of technical reports and research articles. Depending on candidate's interest, he or she will also collaborate with experimental biologists and computational scientists to study systems biology datasets to discover genes, proteins or pathways differentiating experimental conditions, such as normal and diseased states; integrate and analyze data from genome sequencing projects, functional genomics analysis, and other school of medicine research projects; organize genomic data with other relevant data types into databases, displays, or graphic presentations for publication and web presentation; develop novel algorithms to analyze biological data.

REQUIREMENTS:

• BS in computer science, bioinformatics or other closely related discipline
• Proficient experience in database development (SQL or no-SQL)
• Proficient experience in programming languages including Java, Python, R
• Experience developing software in a Unix system-like environment (Linux, Mac OS X)

The Successful Candidate will be able to present technical description of tools to the end users, demonstrate ability to work effectively on multiple on-going projects, possess strong verbal and written communication and interpersonal skills, and be able to work independently with attention to detail.

Additional Requirements: In accordance with MSU policy, hiring will be conditional upon successful completion of a pre-employment background check.

PREFERENCES:

• MS in computer science, bioinformatics or other closely related discipline
• Background in molecular biology
• Experience in data mining applications (based either on statistics or machine learning)
• Experience in the use and/or development of databases for biological applications
• Experience with cluster computing
• Experience applying statistics to analyze large datasets
• Ability to independently use and create web-based tools to visualize, analyze and edit biological data in web technologies such as HTML, CSS and Ajax

TERMS:
Start Date: As soon as possible

Appointment: This is a full-time (1.0 FTE) annual contract--renewal contingent on funding, need and performance

COMPENSATION:
Salary: $30,000 - $40,000 depending on qualifications

Benefits: Eligible

HOW TO APPLY:
To apply, submit the following:
(1) a letter of application addressing the above required and preferred qualifications, and
(2) a current resume or vitae, and
(3) the names, addresses, telephone numbers and email address of three current professional references.

An application packet addressing all the above requirements and qualification as listed is highly encouraged. Missing materials and information may not be requested and may result in your application not being considered for the position.

Electronic submissions in PDF format are preferred, and must have the applicant's signature on the letter of application. For electronic submittals, please indicate "Applicant - Search #11128-33" in the subject line of the email.

Submit materials to:
Aurelien Mazurie
Department of Microbiology
Montana State University
PO Box 173520
Bozeman, MT 59717-3520
(406)994-5689
aurelien.mazurie[at]montana.edu

ARTICLE:
Search Number: 11128-33

DEADLINE:
Screening of applications will continue until the position is filled.