• HDC Scientific Liaison

    Job ID
    Regular Full-Time
    Fred Hutchinson Cancer Research Center
    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) at the Fred Hutchinson Cancer Center (the Hutch) drives the development of data-intensive research capabilities and infrastructure across Fred Hutch through software and data engineering, training, and strategic partnering.

    We are seeking a charismatic individual with a background in bioinformatics or computational biology research to facilitate data-intensive partnerships and identify collaboration opportunities within the Hutch and with broader scientific community. A strong candidate will have knowledge of high-throughput experimental methodologies, large genomic datasets, and computational analysis to successfully describe key concepts across both technical and non-technical collaborators.The Scientific Liaison will enable high-quality science through their ability to match research needs with skill sets and personalities of potential collaborators, which may include but are not limited to: Hutch faculty, external researchers, undergraduate student interns, graduate student and postdoctoral researchers, capstone project students, and industry fellows.

    The ideal candidate will be comfortable communicating across a wide range of backgrounds and levels of expertise, and will maintain strong relationships with the Hutch researcher community to better support their needs. They will be in continuous contact with researchers to fully understand their challenges and help identify partnership opportunities. This position requires excellent oral and written communication skills and a deep understanding of the research process and culture.

    This role will report to the Director of Alliances and Data Strategy. The Scientific Liaison will provide input into the types and nature of institutional partnerships that would be most useful, and identify opportunities for wider impact through more intensive engagement.


    • Understand key aims, concepts, and methods of Fred Hutch’s research portfolio. 
    • Be able to converse with researchers about their work, methods, and approaches.
    • Have familiarity with commonly used approaches and methods related to data-intensive research in the biomedical space.
    • Develop in-depth familiarity with researchers. Make connections between researcher needs and research outcomes and opportunities.
    • Facilitate translation of collaborator requests into practical steps, and determine whether and how they are achievable.
    • Make recommendations regarding the allocation of people, time, financial, and intellectual resources; track resource use and needs across projects.
    • Manage, maintain, and grow an engaged network of internal and external research collaborators.
    • Help with creation of job descriptions and recruiting materials related to research partnerships. 
    • Monitor collaborator satisfaction and assess their needs. 
    • Contribute to the strategic planning and management activities of the Alliances and Data Strategy team.
    • Facilitate sharing of knowledge and best practices in data science among researchers and others at the Hutch.
    • Other duties as required.


    • PhD in biomedical sciences, computational biology, bioinformatics, or other discipline related to data-intensive research; or equivalent experience 
    • Competency in data science skills, approaches, and languages like R and/or Python, SQL, machine learning, and version control
    • An empathetic mindset with a deep understanding of research processes, challenges, opportunities to facilitate relationship building and trust.
    • Strong oral communication skills to convey and explain information effectively and across varying audiences
    • Strong organization and project management skills. Self-motivated and driven to make a difference.
    • Strong interest in open science and data sharing.
    • Experience in or willingness to learn product development concepts, practices, and processes.
    • Intellectually curious and adept at rapidly comprehending the general goals of cutting-edge biological research and the nuances of how data science intersects with these objectives.
    • Committed to working with diverse teams.
    • Desirable: Experience working in communication and/or outreach to researchers. 
    • Desirable: Familiarity with data formats and markup languages (e.g. XML, JSON, Markdown); common data storage mediums (e.g. SQL, Excel, Access); distributed computing; big data platforms (e.g., Hadoop, Spark); and containers (e.g, Docker)

    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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