BACKGROUND

RESPONSIBILITIES

• Applies bioinformatics techniques and develops software scripts to analyze gene expression data.
• Conceives and develops algorithms and analysis approaches to solve the key challenges for analysis of gene expression data in a clinical setting.
• Validates results, modifies algorithms or analysis protocols as needed.
• Supports development of and analysis for required clinical control parameters.
• Performs other related responsibilities as necessitated by the position or as assigned.

REQUIREMENTS

• PhD in Bioinformatics, Statistics, or Statistical Genetics, OR M.S. + 2 years experience in a bioinformatics related field.
• 2-years molecular biology experience preferred.

PREFERENCES

• Experience with statistical data analysis, including genome-wide expression data and microarray data analysis.
• Experience with computer programming and databases.
• Familiarity with online bioinformatics tools, databases, and pathway analysis.
• Proven experience using bioinformatics and genome scale data to solve clinically and / or scientifically important questions.
• Research-oriented curiosity to seek out and develop novel tools and approaches for data analysis.
• Excellent attention to detail and analytical skills.
• Demonstrated excellence in written and verbal communication skills; proven ability to communicate effectively with colleagues from a range of disciplines.
• Ability to work independently as well as work effectively in a team environment.
• Excellent organizational skills.
• Familiarity with the Micro Array Quality Consortium (MAQC) studies and clinical data analysis would be advantageous.

HOW TO APPLY