RESPONSIBILITIES

•  Perform quality analysis of sequence data and assist others in interpretation of analyzed data.
•  Define quality metrics for assessing library and sequencer performance.
•  Utilize genome assemblers (such as Velvet, Newbler etc), visualization tools, and other genome assembly and analysis software.
•  Evaluate assembly results and improve genome assemblies methods.
•  Provide high quality data to collaborators.
•  Provide clear and concise professional reports.
•  Work closely with scientists and production staff to improve production line quality.
•  Present technical and analytical status in meetings.

•  Develop and improve tools to evaluate quality of data generated by various sequencing platforms and library types.
•  Refine and improve existing analytical tools.
• Design and build new tools to analyze assembled 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 implement new sequence analysis pipelines.
•  Provide high quality documentation for newly developed software and approaches.

•  Work at a higher level of independence and responsibilities in carrying out assignments.
•  Develop and implement substantial, known or novel, computational methods to improve the analysis capabilities and output of the group.
•  Troubleshoot complex systems and data analysis problems.

REQUIREMENTS

•  Typically requires a B.S. in Biology, Bioinformatics, Computer Science or a related field and at least two years of experience in genome assembly or bioinformatics; or an equivalent combination of education and experience.
•  Strong background in biology and biochemistry.
•  Strong background in bioinformatics, mathematics, molecular biology and genomics.
•  Demonstrated experience applying statistics to analyze large biological datasets.
•  Proficiency with programming languages including PERL, C/C++, Java or others in a Unix environment.
•  Demonstrated analytical skills sufficient to troubleshoot system and data analysis problems and make recommendations.
•  Strong 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 multi-disciplinary team environment.
•  Ability to handle multiple tasks in parallel while working on a large number of projects.
•  Ability to follow laboratory safety guidelines.
•  Experience with distributed computing.

•  Knowledge and experience with laboratory DNA sequencing technologies and genetics, or related field or equivalent experience preferred.
•  Some experience with database structure and management.
•  Experience applying machine learning, pattern recognition, or modeling to scientific problems.
•  Experience in a multi-disciplinary scientific or production environment.

•  Bachelor's degree in Biology, Life Sciences, Bioinformatics, Computer Science or related field with a minimum of five years of experience in genome assembly or bioinformatics; or an equivalent combination of education and experience.
•  Advanced SQL, Perl or Java software skills.
•  Ability to troubleshoot complex systems and data analysis problems.

HOW TO APPLY

POLICY