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RESPONSIBILITIES

Principal duties:
The Great Lakes Bioenergy Research Center (GLBRC) is housed at the University of Wisconsin and partners with Michigan State University along with other academic and national laboratories. The GLBRC is one of three Department of Energy Bioenergy Research Centers (BRCs) to conduct fundamental, genomics-based research on microbial and plant systems required to realize the national need for low-cost biofuels. The GLBRC's mission is to perform the basic research that generates technology to convert cellulosic biomass to ethanol and other advanced biofuels. GLBRC represents a multidisciplinary partnership with expertise spanning the physical and biological sciences, including genomics, microbial and plant biology, analytical chemistry, computational biology and bioinformatics, and engineering.

The principal responsibility of this position will be state-of-the-art support of a variety of GLBRC research projects at the experimental design, data analysis, and publication stages. Examples of current and future projects include analysis of RNA-seq, ChIP-seq, and metabolomics data in bacterial and yeast fermentation experiments and integration of multi-platform data. An ability to derive biologically meaningful and statistically rigorous results and effectively communicate them to multi-disciplinary teams will be essential. This will require regular and effective communication and collaboration with bench scientists and other computational biologists.

Another important responsibility will be participation in design and development of in-house data repositories and custom software. Specific duties may include database design, setting up analytical workflows, developing requirements for user interfaces, and participation in software testing. This will require effective communication and collaboration with end users (primarily bench scientists), other bioinformaticians, programmers, LIMS developers, and IT personnel.

This position offers an opportunity to play an important role in the activities of a keystone research center for the first great national challenge of the 21st century, sustainable energy independence. For additional information regarding the GLBRC, visit our website: http://www.glbrc.org

REQUIREMENTS

Degree and area of specialization:

M.S. in Bioinformatics or a closely related field, including statistics, computer science, or mathematics.

Minimum number of years and type of relevant work experience:

3 years of bioinformatics experience, including thesis work and/or professional experience. Expertise in Next Generation Sequencing (NGS) data analysis is essential.

The successful applicant will have a combination of bioinformatics, statistical, computer, and biological expertise. Essential skills and experience for this position include the following:

Hands-on experience in the analysis of RNA-seq, ChIP-seq, and/or genome (re)sequencing data
Understanding of statistical methodologies widely used in omics data analysis, such as statistical tests for differential expression, multiple testing corrections, and clustering
Evaluation and selection of bioinformatic analysis methods
Development of custom bioinformatic analysis workflows or pipelines to meet the needs of research projects
Strong communication skills, both verbal and written
Independence, creativity, and ability to learn new skills
Demonstrated productivity through co-authorship of peer-reviewed publications

PREFERENCES

Skills or experience in any of the following areas (in addition to the essential skills and experience listed above) will be a plus:

Working in a bioinformatics core or similar environment
R programming and Bioconductor
Microbial biology
Bioenergy research
General purpose high-level languages such as Perl, Ruby, Python, or Java, including specialized bioinformatics packages such as BioPerl
Analysis of other types of high-throughput data, e.g. microarrays, metabolomics, high-throughput screening, proteomics
Integration of multiple types of high-throughput data
Biological data mining software, such as Partek or Spotfire
Biological data visualization
Network visualization and topological analysis, especially biological pathway and regulatory network analysis
Relational databases: SQL; Oracle, MySQL, or PostgreSQL; relational database design principles
High performance computing
Plant biology

HOW TO APPLY

See complete job ad, including application instructions, here: http://www.ohr.wisc.edu/Weblisting/External/PVLSummary.aspx?pvl_num=84947

Discussion forums: Opportunity: Computational Biology Researcher @ University of Wisconsin -- Madison, WI (US)

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