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Bioinformatics Analyst/Research Associate

Location:	Toronto, Ontario, Canada
Job Type:	Permanent
Posted:	23rd Feb 2010
Closing Date:	23rd Mar 2010
Posted By:	University of Toronto
Details:
Bioinformatics Analyst/Research Associate Job description We are seeking a full-time data analyst to support projects involving diverse types of functional genomic analyses, including DNA- and protein-binding microarrays, colony arrays, short-read sequencing, motif searches and motif scans, statistical inference, and other types of DNA/protein sequence and structure analyses. Job activities Responsibilities of the analyst will include the following: Project-specific analyses using existing statistical and computational tools and approaches Development of new computational tools Assembly and organization of data structures Maintenance of established data analysis frameworks Preparation of figures, tables, and descriptions of methods for grants and papers Participation in lab meetings and project-specific discussions Assisting other lab members with data analysis Supervising co-op and summer students Qualifications An MS or PhD degree is required, preferably in Bioinformatics, Computational Biology, or Molecular Biology, but applicants with degrees in Computer Science, Statistics, Physics, and Engineering will also be considered. The candidate will preferably have at least two years of work experience, or an equivalent combination of education and experience. The applicant should have a strong computational background, combined with a solid understanding of biology and statistics. In particular, the applicant must be familiar with the LINUX/UNIX environment and have a working knowledge of Perl scripting, relational databases such as MySQL, and statistical analysis software such as R, S plus and/or Matlab. The applicant should have experience with the management, combination, and analysis of large datasets. Moreover, the applicant must be familiar with genome databases such as the UCSC, NCBI and Ensembl genome browsers. Experience with biological toolkits such as BioPerl and Bioconductor, as well as higher level programming languages (e.g. C, C++, Java) is considered an asset. Strong verbal and written communication skills, organizational ability, and initiative are also required. Interested persons should forward their CV to: Timothy Hughes, PhD Professor University of Toronto CCBR Room 1302 160 College Street Toronto ON M5S 3E1 t(dot)hughes@utoronto(dot)ca

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