RESPONSIBILITIES

• Will gather feedback and requirements to develop metadata storage and analysis systems for the Genomic Standards Group.
• Set up and manage the system for collection of metadata.
• Create AJAX-enabled metadata submission forms.
• Add support to local (existing and new) systems for the GSC (Genomic Standards Consortium) environmental packages.
• Implement public field-specific ontologies (SNOMED, Soil, Cyanobacteria, EnvoLite), modify them as necessary and incorporate them to local systems.
• Develop automated quality control scripts, improve data-mining and data-import pipelines.
• Develop data warehouse metadata statistics and add support for historical data.
• Develop user interface for large scale metadata-based comparative analysis.
• Apply analytical skills and creativity to troubleshoot ad solve diverse and challenging problems.

• Develop and present updates and reports at group meetings.
• Participate in preparation of publications

REQUIREMENTS

• Bachelor's degree in Biology, Computer Science, Bioinformatics or a related field with a minimum of five years experience or an equivalent combination of education and experience. Graduate degree preferred.
• Familiarity with molecular biology, comparative genomics, metagenomics, and microbial ecology.
• Demonstrated experience utilizing Perl, AJAX, SQL and UNIX.
• Demonstrated expertise utilizing disciplined and modern coding habits such as self-documenting code, unit testing, version control etc.
• Experience with processing and analysis of genomic and genetic data.
• Strong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to moderately complex problems.
• Strong interpersonal skills with the ability to work with scientific and administrative customers to define needs and priorities.
• Ability to troubleshoot complex systems and data analysis problems.

PREFERENCES

• Exposure to parallel programming and MPI.
• Interest and facility in algorithmic research involving graph theory, string comparison, or other bioinformatically-relevant areas of computer science.

HOW TO APPLY

POLICY