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Working Title:
DATA ANALYST
Official Title:
RESEARCHER(E05DN) or ASSOC RESEARCHER(E05FN) or ASST RESEARCHER(E05LN)
Degree and area of specialization:
Masters in Bioinformatics/Computational Biology or a related field, including biological sciences, statistics, or computer science required, Ph.D. preferred.
Minimum number of years and type of relevant work experience:
Minimum of three years of bioinformatics experience. Working knowledge of informatics computing, scripting languages, basic R statistical analysis skills, and Linux pipeline experience. Familiarity with Condor would be beneficial. Teamwork and collaboration skills. Previous experience conducting comparative and evolutionary analyses preferred, but is not essential.
Principal duties:
The University of Wisconsin Biotechnology Center (UWBC) is a synergistic blend of core service facilities, research and outreach activities. The Bioinformatics Resource Center (BRC), one of UWBC core facilities, is seeking to add a highly self-motivated individual to our team, with special focus on comparative and evolutionary genomics. This individual will be primarily responsible for conducting analyses of assembled and annotated genomic and metagenomics data. Initially, this individual will work closely with a collaborative group that has developed workflows involving prediction of orthology relationships across hundreds of bacterial genomes, genome-scale phylogenetic analyses, detection of horizontal transfer events, and ancestral state reconstructions.
70% Work with Genome evolution laboratory to analyze genomic and metagenomics data produced in the laboratory. Responsible for working with project personnel to implement and run pipelines to conduct these analyses on a regular basis. This involves scripting, exploration of parameter selections, summarizing large data in tabular and graphical formats, and providing detailed documentation of all methods used. These analyses use a wide variety of Linux software applications including, but not limited to OrthoMCL, MAFFT, RAxML, Mr. Bayes, BuCky and various specialized R packages. Many aspects of these analyses are computationally intensive requiring high-throughput infrastructure available at the BRC and using the campus Condor resource.
15% Maintain and improve data analysis pipeline. This position will also be integrated into the BRC analysis team. This involves daily interactions, weekly meetings, and regular cross-training in a wide variety of next generation sequence data analyses.
10% Assist the Facility Director with investigating and developing new processes and techniques to improve campus bioinformatics support on comparative genomics.
5% Other Duties as assigned.