RESPONSIBILITIES

• Interface with end-users and collaborators to gather feedback and requirements.
• 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 for all organisms including projects from the Human Microbiome Project (HMP).
• Create, maintain and document controlled vocabularies pertinent to genome project data, including addition of terms and term relationships for quality and control of annotations.
• Read genome project literature and retrieve specific data for entry to the corresponding databases.
• Collect and organize metagenome metadata (from internal and public databases, collaborators, etc.)
• Troubleshoot diverse and challenging systems and data problems and exercise independent judgment to 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.
• Interact with team members and technical, administrative, and scientific staff.
• Present annotation statistics, metrics and future plans to project team members and other scientists in oral and written forms.

• Provide feedback on the flow and quality of data.
• Provide training to other team members.
• Present technical status reports at weekly group meetings.

REQUIREMENTS

• Bachelor's Degree in Molecular Biology, Bioinformatics, Computational Biology, Computer Science, or related field with a minimum of five years of work experience, or an equivalent combination of education and experience (Master's or PhD degree preferred).
• Good knowledge of molecular biology 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.
• Good understanding of the fundamentals of various bioinformatics tools, algorithms, and databases, especially Blast but also HMMER, ClustalW, Phylip, FASTA, GenBank, BioPerl etc.
• 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.

PREFERENCES

• 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 preferred.

TERMS

LOCALE

HOW TO APPLY

POLICY