• Morphometry and Image Analyst

    Job ID
    11530
    Type
    Regular Full-Time
    Company
    Fred Hutchinson Cancer Research Center
    Location
    US-WA-Seattle
    Category
    Staff Scientist
  • 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.

    Responsibilities

    The quantitative analysis of cell and tissue shape – morphometrics – is pivotal for our understanding of human disease and our quest for cures. In recent years, Fred Hutch researchers have generated accelerating terabyte and pentabyte quantities of 3D and 4D imaging data. This has created a need for expertise in image analysis – encompassing modeling, statistical inference, and toolkit development. Accordingly, we are seeking a highly motivated individual with experience in morphometrics and image analysis to support research at the Fred Hutchinson Cancer Research Center (Fred Hutch).

     

    The Morphometry and Image Analyst will collaborate with individual researchers from the Division of Basic Sciences and other Fred Hutch scientific divisions to develop multi-pronged integrative approaches to quantitatively understanding patterns in biological images, including ultra-resolution, 3D and 4D microscopy images.  The analyst will interface with staff from a number of Fred Hutch Shared Resources (cores), specifically Scientific Imaging, Bioinformatics, and Scientific Computing, and will report to the Director of the Genomics and Bioinformatics Shared Resource.

    Position summary:

    This is a multi-faceted job that involves the following components:

    • The principal role will be to collaborate with researchers to identify and define quantitative image analysis and visualization needs and develop solutions for biomedical projects. Assist in the research design of imaging experiments. Create software prototypes and image processing pipelines for varied applications, potentially including high-content image analysis screens, quantification of cell morphometric phenotypes and dynamics, and identify and track nuclear, cell, and/or tissue features in 3D images over time.
    • Aid researchers in developing biophysical or mechanical models and perform simulations to test fit to experimental data.
    • Provide software support, including maintenance, documentation and training, for a collection of image analysis and visualization software such as CellProfiler, ImageJ, Metamorph, Imaris, and Halo.
    • Collect, curate, archive, and manage quantitative imaging data and help in the preparation of results and methods for publications & presentations. Co-authorship on papers may be appropriate, depending on the level of involvement.
    • Increase image analysis expertise in the community by organizing educational events and workshops including hands-on training sessions to discuss biological and biomedical imaging problems and computational solution strategies.

    Qualifications

    The ideal candidate will have extensive experience in developing and utilizing computational approaches for quantitative image analysis and morphometry. Typically, the candidate will have developed these skills through research for an advanced degree in a biophysical, biomedical or bioengineering discipline and have at least 3 years of hands-on experience. They will have a fundamental understanding of microscopic techniques, statistics and mathematical modeling. Strong programing skills in MatLab, Python and/or R are essential. Experience with one or more common image analysis software packages is desirable. Additional critical skills include the ability to manage multiple ongoing projects, communicate efficiently and effectively with scientists and technical staff, maintain detailed documentation, and function independently in a dynamic research setting.

    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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