Bioinformatics Engineer

The Bioinformatics Engineer will collaborate with Dr. Alex Greninger and the Virology Laboratory at the University of Washington in Seattle to support clinical diagnostic testing and research and development projects. 

WHAT WE OFFER:

• Salary: $6,843 - $11,120 per month.
• Vacation time and sick time off that accrues monthly, including 12 paid holidays.
• Excellent healthcare, dental, disability, and retirement plan options.
• State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges and universities.
• Eligibility for the Public Service Loan Forgiveness Program as a University of Washington employee.
• Fully subsidized public transit pass (U-PASS).
• And much more!

WHAT YOU'LL DO:

• Develop next-generation sequencing data analysis pipelines, preferably developing user-friendly interfaces for running those pipelines, and manage the storage and organization of next-generation sequencing data using both commercial and open source software.
• Support of routine data management to support clinical next-generation sequencing assays (i.e., data transfer, analysis, storage, and retrieval).
• Administration of scientific computing infrastructure.
• Maintenance of software pipelines for data analysis (i.e., maintaining our customized environment, software, and infrastructure for performing analyses).
• Design and construction of database tools for managing historical results and interpretive data (such as a database categorizing genomic polymorphisms).
• Design and construction of web-based decision support tools providing interpretive information for health care providers.
• Develop software that integrates next generation sequencing data with an existing database that tracks molecular microbiology clinical workflow.
• Develop software that integrates next generation sequencing data with publicly available databases such the NCBI Genbank (NT/NR databases), taxonomy, and Short Read Archive.
• Analysis (sequence database search, alignment, assembly, taxonomic classification, SNP analysis), visualization, and reporting of biological sequence data.