BIOINFORMATICS ENGINEER LONG READ SEQUENCING

University of Washington • Seattle, WA

441d • $11,866 - $87,624 • Remote

About The Position

The University of Washington is seeking a Bioinformatics Engineer specializing in Long Read Sequencing to support the development of new pipelines and assays. This role is crucial for enhancing testing capabilities for clinicians and genetic counselors. The position involves developing software pipelines, managing databases, and supporting existing Next Generation Sequencing pipelines, all aimed at improving laboratory workflows and data management.

Requirements

• Bachelor's Degree in Computer Science, Engineering, Bioinformatics, Physics, Applied Math, or related discipline.
• Four (4) years of related professional experience including fluency in Python.
• Experience developing software using 'Git' version control, unit testing, documentation, and code review.
• Extensive experience with Linux or other Unix-like environments.
• Excellent spoken and written communication and documentation skills.

Nice To Haves

• Masters or better in Computer Science, Bioinformatics, Data Science, Genetics or Molecular Biology.
• Experience with common tools for sequence analysis.
• Knowledge of long-read sequencing principles.
• Knowledge of Amazon AWS.
• Fluency with advanced Python.
• Fluency with SQL.
• Knowledge of Next Generation Sequencing principles.
• Wet bench experience with PCR or sequencing-based assays.
• Knowledge of at least one other programming language, such as JavaScript, Java or Rust.
• Experience gathering and documenting user requirements.

Responsibilities

• Develop Long-Read Sequencing data analysis software pipelines.
• Develop, debug and maintain software for bioinformatic pipelines and analyses.
• Execute data analysis applications to support clinical testing.
• Create new platforms for tests in development.
• Implement technical fixes and code improvements.
• Troubleshoot software and hardware issues related to data analysis.
• Suggest pipeline configuration improvements and support process engineering.
• Optimize and parallelize data analysis pipelines.
• Design and construct applications and databases for efficient laboratory workflow and data management.
• Create new SQL databases and maintain existing databases.
• Design and implement software tools providing interpretive information for health care providers.
• Integrate data from laboratory instruments, clinical laboratory, and analytical pipelines.
• Support existing Next Generation Sequencing pipelines.
• Evaluate and install applications for use in pipelines.
• Assist with data management, backup, and archiving.

Benefits

• Generous benefits and work/life programs.
• Professional growth opportunities.
• Unique resources in a diverse environment.

What This Job Offers

• Job Type: Full-time
• Industry: Educational Services
• Education Level: Bachelor's degree