RESPONSIBILITIES

• Perform quality analysis of sequence data and assist others in interpretation of analyzed data.
• Extract new biological insights and phenomenon from the analyzed results.
• Proficiently utilize assembled genomes, various alignment tools, visualization tools, and other genome interrogation and analysis software.
• Provide feedback on data quality to wet-lab scientists and sequencing team members.
• Provide clear and concise professional reports on data analysis and results.
• Present technical and analytical status in weekly meetings.

• Assist with the adaptation and improvement of bioinformatics tools to process sequencing data generated by various R&D library types and projects.
• Assist with the design and development of new tools for the new R&D projects.
• Refine and improve existing analytical tools.
• Design and build new tools to analyze sequences of various research projects.
• Troubleshoot basic system and data analysis problems and provide feedback on areas of improvement for existing tools.
• Provide technical support to detect issues and improve library protocols.
• Provide high quality documentation for newly developed software and approaches.

REQUIREMENTS

• Typically requires a B.S. in Bioinformatics, Computer Science, Biology or a related field and some related experience, or an equivalent combination of education and experience. Master's Degree preferred.
• Experience in genome bioinformatics and the collection, recording and analysis of experimental data
• Familiarity with DNA sequencing, short read alignment programs and data analysis
• Knowledge and experience with standard bioinformatics methods and tools, including sequencing databases
• Familiarity with various molecular biology procedures, including DNA sequencing, PCR and cloning
• Ability to process large volumes of data, whole-genome data analysis preferred
• Proficiency with programming languages including Perl, C/C++, Java or others in a Unix environment as well as web-based interface
• Experience with SQL, MySQL, Oracle or other RDBMs
• Demonstrated analytical skills sufficient to troubleshoot system and data analysis problems of limited scope and make recommendations
• Strong organizational and record-keeping skills
• Effective oral and written communication and interpersonal skills
• Ability to follow laboratory safety guidelines

• Knowledge and experience with laboratory DNA sequencing technologies and genetics, or related field or equivalent experience preferred
• Experience with database structure and management
• Familiarity with statistical tools and interpretation of data
• Familiarity with machine learning, pattern recognition, or modeling to scientific problems
• Experience in a multi-disciplinary scientific or production environment

HOW TO APPLY

POLICY