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Lab Data Specialist - Statistical Center for HIV/AIDS Research & Prevention (SCHARP) at Fred Hutch

Notice!This listing has expired and should not be applied for.
Location: Seattle, WA
Full-time position
Closing Date: open until filled
Job #12553
Posted: May 8, 2018
Description:

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. 

Skills/Eligibility:

Responsibilities

  • 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.

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