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 Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Data Standards Analyst. Under general supervision, the Data Standards Analyst contributes to the coordination and management of clinical data standards and production of standard datasets within SCHARP. The incumbent provides subject matter expertise in CDISC data standards, supports coordination efforts with SCHARP staff and network partners to standardize the collection and tabulation of clinical trials data, coordinates and/or leads CDISC working groups, drafts SDTM and ADaM metadata and conversion specifications as well as CRF Global Library form content, maintains awareness of publication updates from CDISC and other data standards or regulatory agencies that impact SCHARP data standards, and configures data transformations to provision SCHARP SDTM data tables from CRF and other data pipelines to SCHARP Programmers and Statistical Research Associates via a clinical data warehouse.
Core to the role is a deep understanding of data standards and data transformations, the ability to communicate effectively, work collaboratively with colleagues and be responsive to the needs of both internal and external customers within an environment of mutual cooperation and respect.