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.
• Independently and proficiently utilize assembled genomes, various alignment tools, visualization tools, and other genome interrogation and analysis software.
• Be familiar with the different types of data and approaches for chromatin (epigenetic) interrogation, transcriptome characterization and genome assembly.
• Provide data quality feedback 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.
• Contribute to publications on experimental data generated by the new sequencing approaches.

• Adapt and improve bioinformatics tools to process sequencing data generated by various R&D library types and projects.
• Participate in the design and development of new tools for new R&D projects.
• Refine and improve existing analytical tools.
• Design and build new tools to analyze sequences of various research projects.
• Troubleshoot 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

• Demonstrated experience processing large volumes of data, whole-genome data analysis, phylogenetics and comparative genomics.
• Typically requires a B.S. in Bioinformatics, Computer Science, Biology or a related field and at least five years of experience in genome bioinformatics, or an equivalent combination of education and experience. Master's Degree / PhD preferred.
• Experience with the collection, recording and analysis of large-scale experimental data.
• Expertise with genome assemblers, DNA sequencing, short read alignment programs and large-scale data analysis.
• Demonstrated knowledge and experience with standard bioinformatics methods and tools, including sequencing databases.
• Familiarity with various molecular biology procedures, including DNA sequencing, PCR and cloning.
• Proficiency with Perl/Python, C/C++, Java or others in a Unix environment; familiarity with software engineering and web-based interface.
• Experience with SQL, MySQL, Oracle or other RDBMs.
• Experience with database structure and management.
• Familiarity with statistical tools, applied statistics and interpretation of data.
• Experience applying machine learning, pattern recognition, or modeling to scientific problems.
• Demonstrated analytical skills sufficient to troubleshoot system and data analysis problems and make recommendations.
• Proficient organizational and record-keeping skills.
• Effective oral and written communication and interpersonal skills.
• Ability to work independently and as a team member in a diverse team environment.
• Ability to handle multiple tasks in parallel while working on a large number of projects.
• Ability to follow laboratory safety guidelines.
• Preferred - Knowledge and experience with laboratory DNA sequencing technologies and genetics, or related field or equivalent experience preferred.
• Preferred - Experience in a multi-disciplinary scientific or production environment.

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