• Bioinformatics Analyst I-II, Translational Genomics

    Job ID
    Regular Full-Time
    Fred Hutchinson Cancer Research Center
    Biostatistics, Bioinformatics and Computational Biology
  • Overview

    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 Bioinformatics Analyst I-II will work under the supervision of a senior scientist in the Clinical Research Division on translational genomics research projects as well as contributing to the Fred Hutch community at large through documentation and cross-divisional projects supporting bioinformatics. This position will involve participating in multiple collaborations on translational research projects involving a range of genomic data types. The candidate will contribute their bioinformatics expertise along with assisting in communication of project scope and results through the creation of interactive data visualizations and dashboards. Additionally, the candidate will have direct involvement in ongoing studies of intratumoral heterogeneity in cancer generally and in leukemia specifically that involve technique development rather than application of existing approaches.


    • Process large sequencing datasets derived from high-throughput short-read sequencing including: exome sequencing, targeted DNA sequencing panels, bulk RNA sequencing, single cell RNA sequencing (10x Genomics), and novel, emerging single cell analysis approaches using curated and documented bioinformatics workflows
    • Work with collaborators and their staff to curate metadata regarding genomic data sets and assist in managing the associated genomic data sets
    • Develop and document reproducible approaches to data curation, bioinformatic processing, quality assessment and communication of results to collaborators
    • Create useful portals/interactive data visualizations for viewing project status as well as results for collaborators
    • Assist in development and application of novel metrics of intratumoral heterogeneity and integration of data from multiple scales (bulk data and single cell data)


    Minimum Requirements:

    • Suitable applicants should have a degree in bioinformatics, computer science, biostatistics, or related disciplines and minimum of 2 years of full-time hands-on analysis of high throughput data
    • Experience with R/Bioconductor (must have proficiency), Python, and Bash scripting in a Unix environment and an interest to tune up skills using non-primary languages
    • Experience with creating interactive data visualizations such as via Shiny app development or other visualization tools
    • Experience with common NGS bioinformatic tools (bwa, GATK, etc.) as well as tools for analyzing high-throughput genomic data quality
    • Familiarity with GitHub and use of version control
    • Strong written and oral communication skills, including the presentation and visualization of analysis results as well as creation of documentation


    Preferred qualifications:

    • An interest in discussing, designing, documenting and implementing reproducible bioinformatic workflows and “laying down track” rather than reinventing the wheel
    • Ability not only to work independently, but also to work collaboratively within multidisciplinary teams including statisticians, clinicians, laboratory-based staff and IT professionals
    • Experience with messy, “real life” data sets
    • Experience with working in a cloud environment (e.g., Amazon’s EC2/S3)
    • Experience with identifying, obtaining and using publicly available genomic data sets
    • An appreciation for “tidy” data and the drive to help researchers get there

    Our Commitment to Diversity

    We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.


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