• Lab Data Specialist

    Job ID
    Regular Full-Time
    Fred Hutchinson Cancer Research Center
    Clinical Research Support Services
  • 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 and largest 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 Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is seeking a Lab Data Specialist to design and manage internal data structures for storage and curate laboratory related metadata for data processing. They are also the subject matter expert for assay data collection, processing, and analysis. The Lab Data Specialist will work with Lab Data Managers, Programmers, and the Data Analytics Unit as part of laboratory data pipeline development and operations to define, document, and maintain inbound and outbound data file and format specifications. 


    • Works as part of a team to help develop inbound laboratory data pipelines:
      • Interfaces between external laboratories and SCHARP programmers to define and document inbound data requirements and formats.
      • Collaborates with external laboratories, SCHARP programmers, and the Data Analytics Unit to develop plans for examining data quality; this includes determining and specifying which quality control checks should be performed.
      • Consults with the Data Analytics Unit to determine the data and metadata required to support the study analysis plan.
    • Leads the development and management of laboratory data standards in SCHARP including:
      • Data models for data storage and inbound and outbound laboratory data pipelines that includes field names, data types, controlled vocabulary, and other associated metadata required for data processing.
      • Specification format for documenting data models that will be used by programmers for pipeline implementation and the Data Analytics Unit for data consumption.
      • Practices for creating and revising data models and specification documents.
    • As a subject matter expert on laboratory assays and practices, supports other SCHARP staff with relevant technical information via presentations, trainings, or ad-hoc questions.
    • Provides data management best practices support to laboratories that helps ensure data quality at the laboratories and facilitates data transfer to SCHARP.
    • Maintains knowledge of laboratory assays and practices through participation in partner conferences, taking relevant classes and/or training seminars, and reading journals.
    • Provides feedback to SCHARP Senior Management for the development of infrastructure or software tools needed to capture and process laboratory data.



    • Bachelor’s degree in a scientific, technical, or health-related field such as biology, computer science, or information science.
    • Minimum 4 years of work experience in a laboratory, or performing data/information management or analysis, that is complementary to education.
    • Experience developing data specifications (structure, format, and content) for the purpose of storage and interchange.
    • Expertise with Microsoft Excel.
    • Excellent written and verbal communication skills, with the ability to work well in multi-faceted teams.



    • Graduate degree in a scientific, technical, or health-related field.
    • Experience and advanced knowledge of clinical and research lab assays, data and processes, especially immunology data.
    • Experience modelling complex, high-dimensional data.
    • Experience using tools like GraphPad Prism to analyze and verify data.
    • Experience programming in a modern procedural, declarative, or statistical programming language such as SAS, R, Perl, Python, or SQL.

    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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