• Data Scientist II

    Job ID
    12388
    Type
    Regular Full-Time
    Company
    Fred Hutchinson Cancer Research Center
    Location
    US-WA-Seattle
    Category
    Information Technology
  • 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 Hutch Data Commonwealth (HDC) represents a new organization within the Fred Hutchinson Cancer Research Center with a mission to develop new capabilities and resources to facilitate the center’s interaction with large and complex data sets. HDC data scientists partner with center investigators in research leveraging high-dimensional data to drive requirements into the HDC product team where data and software engineers are responsible for developing and supporting robust data management and analysis platforms and tools.

     

    The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, communication and presentation of results, and putting these solutions into production.

    Responsibilities

    • Identify and integrate disparate data sources, both internal and external, structured and unstructured clinical or research data from Consortium partners or external collaborators, as well as from publicly-available databases.
    • Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making.
    • Deliver novel, data-driven insights to improve outcomes in the treatment of cancer.
    • Identify areas of growth for the HDC data science team and actively partner with Data Scientists across Fred Hutch
    • Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications.
    • Manage data science projects from creation to completion.
    • Communicate results to technical and non-technical audiences.

    Qualifications

    REQUIRED QUALIFICATIONS

    • A Bachelor’s degree or higher in computer science, data science, statistics, informatics, or equivalent.
    • Core competency in at least one of the following: deep learning, statistics, genomics, natural language, image processing, medical records or claims.
    • Proficiency in Python.
    • Knowledge of statistical analysis, machine learning, and predictive modeling.
    • Awareness of a variety of data formats and markup languages (e.g., csv, JSON, XML).
    • General experience with the following:
      • Common data storage mediums (e.g., SQL, Excel)
      • Unix/Linux.
    • Version control (e.g. git).
    • Proven ability to collaborate with various levels of internal and external partners, being able to work independently, with heavy multi-tasking.
    • Excellent interpersonal skills and professional diplomacy.
    • Excellent verbal and written communication skills.

     

    QUALITIES NECESSARY FOR SUCCESS

    • A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions.
    • Ability to advise investigators and management in clear language about results and new directions; strong oral and written communication and critical thinking skills are a must for this position.
    • Ability not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, data engineers, epidemiologists, clinicians, administrators, etc.

     

    PREFERRED SKILLS

    • Experience with messy, “real life” data sets. Experience with NoSQL models and big data platforms (e.g., MongoDB, Hadoop, Hive).
    • Experience with API’s and container environments (e.g., Flask, Docker, Kubernetes).
    • Experience with application development, user design, and visualization tools (e.g., JavaScript, HTML5, D3, Shiny).
    • Experience architecting, implementing, and tuning deep learning models.
    • Experience with R and statistical computing.

    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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