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Research Data Analyst Assistant, Clinical Bioinformatics

Research Data Analyst Assistant, Clinical Bioinformatics

Job ID 
Regular Full-Time
Fred Hutchinson Cancer Research Center
Laboratory Research Sciences

More information about this job


Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.


The incumbent will work under the direction and supervision of the principal investigator and the lead scientist to provide bioinformatics and computational biology support for various research projects, grant proposals and manuscript preparation, focusing on translational epi/genomics of gastrointestinal cancers (for details visit the Grady Lab website.) Adherence to principles of reproducible research, motivation to keep up with cutting-edge data analysis tools, and willingness to team-work in multi-disciplinary research programs will be vital to success in this position. The laboratory is situated in the Clinical Research Division at Fred Hutch.

  • Use R/Bioconductor to perform proper QC, normalization and transformation of Illumina Human Methylation array data and perform basic statistical analyses
  • Support data collection, collation, and organization efforts in collaboration with experimental scientists, Shared Resources and external collaborators
  • Extract, harmonize, and analyze data from multiple repositories (TCGA, UCSD Genome Browser, Gene Expression Omnibus, COSMIC, dbSNP, 1000Genomes project, dbGaP etc.)
  • Present analysis results and methods to interdisciplinary scientific teams
  • Document workflows, software, and modules used in research and analysis
  • As needed: perform emerging data analysis tasks as required


Required Qualifications:

  • Bachelor’s degree with at least 2 years of applied research experience in bioinformatics/computational biology.
  • Experience applying routine statistical analyses to high-throughput array data and/or sequencing data
  • Proficiency in R/Bioconductor libraries
  • Other: strong oral and written communication; Must be organized, detail-oriented, and collaborative in an inter-disciplinary research team.



  • Master’s Degree in bioinformatics or computational biology or related fields
  • Scripting experience for preprocessing, QC, and analysis of Illumina Human Methylation array data
  • Experience using R Markdown/Jupyter Notebooks, or other programmatic document formats for scientific reporting
  • Experience using python for database development and management


Please submit a cover letter explaining your interest in the position and prior research experience.

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