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Fwd: [d-ssc] job add





Begin forwarded message:

From: Atina Coté <atina.cote@utoronto.ca>
Date: September 22, 2010 10:23:32 AM PDT
Subject: [d-ssc] job add

 
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
 
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