Job: Bioinformatics Analyst II, Genomics Shared Resource, Fred Hutch Cancer Research Center, Seattle, USA
gravatar for Chao-Jen Wong
5 months ago by
USA/Seattle/Fred Hutchinson Cancer Research Center
Chao-Jen Wong30 wrote:

This position works with a diverse group of technical staff and bioinformatics specialists to support the wide ranging genomics data analysis needs of Fred Hutch faculty and staff.

The Bioinformatics Analyst will report to the Bioinformatics Shared Resource Supervisor, in association with the Director of the Genomics and Bioinformatics Shared Resources, and will work with Fred Hutch scientists to refine computational research questions and develop analytical processes that can be applied to genomics datasets.

- Communicate with researchers and identify appropriate bioinformatics tools to meet the needs of proposed research projects. Develop, test, and implement standardized analytical pipelines to support common NextGen sequencing assays (e.g., RNAseq, ChIPseq, SNV/CNV).
- Provide support to Fred Hutch statisticians, bioinformaticians, and computational biologists working with genomics data.
Work closely with Genomics staff to bring new instrumentation online, implement new analysis workflows, and maintain laboratory operations.
- Participate in weekly staff meeting to discuss ongoing projects and provide advice and support to colleagues.
- Provide figures & written sections describing methods and results for manuscripts, presentations, and grant applications generated by Fred Hutch researchers.

- Individual will have a bachelor's or master's degree in computer science, bioinformatics, biology, genetics, or related discipline with significant computational emphasis and at least 3 years of relevant experience working with genomics data.
- The individual must be proficient with Linux/Unix shell scripting (primarily bash) and possess strong programming skills in Python and R. Knowledge of Java or C++ a plus. Must have a proven track recorded of deep sequencing analysis showing a working knowledge of standard analysis tools (e.g., GATK variant calling pipelines, alignment & pseudoalignment based RNA-seq quantitation, Bioconductor) and relevant databases.
- The individual should be self-motivated, perform in a highly independent manner, and possess strong interest in the biological sciences. Solid communication skills (both verbal and written) and organizational skills are essential, as is the ability to be creative in problem-solving situations.

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