RESPONSIBILITIES

• Interface with end-users and collaborators to gather feedback and requirements.
• Develop and improve tools for metadata annotation, analysis and visualization and add new features to current software and systems.
• Perform high-quality curation of genomic and metagenomic metadata as well as architecture of genome project ontologies and controlled vocabularies for more effective annotation.
• Collect and organize metagenome metadata (from internal and public databases, collaborators, etc.)
• Read genome project literature and retrieve specific data for entry to the corresponding databases.
• Create, maintain and document controlled vocabularies pertinent to genome project data, including addition of terms and term relationships for quality and control of annotations.
• Present annotation statistics, metrics and future plans to project team members and other scientists in oral and written forms.
• Troubleshoot 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.

• 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 more complex systems and data analysis problems.

REQUIREMENTS

• Bachelor's degree in Biology, Bioinformatics, Computer Science or related field with a minimum of two years of work experience, or an equivalent combination of education and experience. Advanced degree preferred.
• Strong background in bioinformatics, molecular biology and genomics.
• Experience in a Linux environment with the ability to query a database using SQL.
• Demonstrated ability to writ basic scripts in Perl for data mining and processing.
• Experience with XML and related technologies preferred.
• Strong interpersonal skills with the ability to work with scientific and administrative customers to define needs and priorities.
• Strong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to moderately complex problems.
• Demonstrated ability to effectively manage concurrent technical tasks with competing priorities.
• Effective time management, organization, and planning skills with the ability to allocate resources and assign work to meet goals and deadlines.

• 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.
• Demonstrated expertise processing large volumes of data, whole-genome data analysis, phylogenetics, and comparative genomics.
• Ability to troubleshoot complex systems and data analysis problems.

HOW TO APPLY

POLICY