RESPONSIBILITIES

•  Develop tools for genome annotation, analysis and visualization and add new features to existing software and systems.
•  Perform high-quality curation of genome and metagenome project metadata.
•  Perform literature search and curate organism and ecosystem metadata.
•  Create, maintain and document controlled vocabularies relevant to genome project data, including addition of terms and term relationships for quality and control of annotations.
•  Collect and organize metagenome metadata (from internal and public databases, collaborators, etc.).
•  Troubleshoot diverse/ challenging systems and data problems and select appropriate solutions.
•  Analyze and propose improvements for the automation of tasks and pipelines and communicate those suggestions to the development team.
•  Architect controlled vocabularies and ontologies to improve the organization of metagenomic-related metadata.
•  Present annotation statistics, metrics and future plans to project team members and other scientists in oral and written forms.
•  May provide feedback on the flow and quality of data.
•  May interface with end-users and collaborators to gather feedback and requirements.
•  May provide training to other team members.
•  May present technical status reports at weekly group meetings.

•  Work at a higher level of independence and responsibilities in carrying out assignments.
•  Train new group members on use of annotation tools.
•  Directly contribute to genome publications through analysis of annotated genomes.
•  Develop and implement known or novel computational methods to improve gene prediction, annotation, and analysis of complete genomes and integrate them into production annotation process and tools.

REQUIREMENTS

•  Bachelor's degree in Molecular Biology, Bioinformatics, Computational Biology, Computer Science, or related field plus a minimum of two years of relevant work experience, or an equivalent combination of education and experience (Master's or Ph.D. degree preferred)
•  Knowledge of Microbiology, Microbial ecology and genetics/genomics
•  Experience processing and troubleshooting large volumes of scientific data
•  Demonstrated experience in a Linux environment with the ability to query a database using SQL
•  Understanding of the fundamentals of various bioinformatics tools, algorithms, and databases
•  Experience writing scripts in Perl for data mining and processing
•  Advanced troubleshooting skills with the ability to work independently on end-to-end implementation and maintenance of data analysis projects
•  Detail-oriented with strong organizational skills to address user needs in an effective and timely manner
•  Effective interpersonal skills with the ability to interact effectively with users and staff, and address their needs in an effective and timely manner
•  Preferred - Advanced degree in Molecular Biology, Bioinformatics, Computational Biology, Computer Science, or related field
•  Preferred - Experience with software engineering, developing computational methods and algorithms, software tools and databases

•  Bachelor's degree in Biology, Bioinformatics, Computer Science or related field with a minimum of five years of work experience, or an equivalent combination of education and experience; advanced degree (Ph.D. and/or MS preferred)
•  Experience processing and troubleshooting large volumes of data, whole-genome data analysis, phylogenetics, and comparative genomics
•  Ability to troubleshoot complex systems and data analysis problems

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