• Director, Data and Analytics

    Job ID
    13483
    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) is a transformative initiative at Fred Hutch that is working to bring innovative big data capabilities to the fingertips of all Hutch investigators. Specifically, HDC is developing infrastructure for the management and analysis of research data at large scale and in partnership with the Translational Data Science Integrated Research Center (TDS IRC) support investigators seeking to conduct data-driven projects and works collaboratively with center scientists to identify and source appropriate datasets, develop tools for accessing and visualizing data, and implement analytic approaches that are reproducible and responsive to scientific objectives.

    Responsibilities

    The Director, Data and Analytics directs the ongoing development of research data platforms and associated data and analytics services within the HDC and leads a team of data engineers and data analysts. In partnership with Product Engineering, the Data and Analytics team will enhance the analytic capability of the Center’s investigators through the introduction of innovative techniques and technologies such as machine learning, natural language processing and advanced data visualization. As part of the HDC leadership team, the Director will contribute to strategic planning, organizational development, and effort prioritization.


    The Director, Data and Analytics should have strong data infrastructure and data architecture skills, a proven track record of leading and scaling data engineering teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how data and analytics can proactively accelerate the work of Fred Hutch. Most importantly, the Director, Data and Analytics will have a passion for applying their skills in support of mission-driven research.


    CORE RESPONSIBILITIES


    Leadership:

    • Lead a team of Data Engineers and Data Analysts and Machine Learning Engineers in the development and support of new infrastructure and data service initiatives
    • Oversee recruiting, hiring, all aspects of performance management, coaching and mentoring of team members, employee development
    • Build a collaborative, transparent culture of trust where team members are empowered and inspired to do their best work
    • Develop team members to be able to operate in a fast paced, lean product development environment
    • Be a consistent example of the center’s commitment to workplace respect, diversity and inclusion, and research integrity


    Data and Analytics:

    • Continually assess needs of the center’s computational community and guide the development of appropriate data resources and services
    • In partnership with the TDS-IRC identify new technology and analytic tools to advance research activities
    • Own the technical roadmap for HDC data infrastructure
    • Manage and lead the production support aspects of data flow into HDC platforms
    • Protect data integrity and accuracy; work with data source owner to increase quality and accuracy of source data
    • Makes decisions, often difficult and/or unpopular, that support the goal of efficient data normalization and ETL process; influences others to support the decisions.
    • Identify, evaluate and implement cutting edge big data pipelines and frameworks required to provide requested capabilities to integrate external data sources and APIs


    General:

    • Foster strong relationships with key teams outside of HDC, including Information Security and Information Technology
    • Stay current with emerging technologies and industry trends
    • Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications
    • Help researchers understand and utilize HDC data resources
    • Ensure adoption of established best practices


    SUPERVISION EXERCISED

    10-12 data engineers and data analysts

    Qualifications

    Minimum qualifications:

    • Masters or PhD degree in Bioinformatics, Statistics, Biostatistics, Mathematics, Computer Science, Physics, or equivalent required, with a minimum of five years of related experience, including a minimum of two years in a management position
    • Demonstrated experience working with biomedical (clinical or research) data
    • Experience with messy, “real life” data sets


    Technical skills:

    • Proficiency in R or Python.
    • Knowledge of statistical analysis, machine learning and predictive modeling
    • A variety of data formats and markup languages (e.g. XML, JSON, Markdown)
    • Common data storage mediums (e.g. SQL, Excel, Access) as well as NoSQL models
    • Unix/Linux and distributed computing
    • Experience with source control instruments such as GitHub and related devOps processes
    • Experience with workflow scheduling/orchestration resources
    • Hands-on experience with big data platforms (e.g., Hadoop, Spark) and containers (e.g, Docker)


    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 necessary for this position.
    • Ability to lead multidisciplinary teams including statisticians, computational biologists, and data engineers, epidemiologists, clinicians, administrators, etc.

    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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