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||Fred Hutchinson Cancer Research Center
||Seattle, WA S
|| Computers, Software, Science, Quality Control, Research & Development, Nonprofit and Volunteer Services, Energy / Utilities
Lab Data Programmer, SCHARP|
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 & Prevention (SCHARP) at the Fred Hutchinson Cancer Research Center in Seattle, WA is seeking a senior-level Programmer to join the SCHARP Laboratory Data Operations (LDO) group. The LDO group is responsible for developing and maintaining the laboratory assay and specimen data pipelines for multiple clinical trials, pre-clinical studies and research and development projects. LDO programmers provide support for the management, quality control, reporting, and analysis of specimen and laboratory assay data by developing and maintaining code, building workflows to facilitate data submission and creating analysis datasets/reports. The incumbent will provide advanced programming, system and workflow design, and scientific input on the systems for data management and quality control. He/she will also need to be comfortable working directly with the data to develop new processes and data transfer standards, and to review current processes and systems for improvements.
In support of research network operations, funding agency requirements, and organizational needs, the Lab Data Operations Programmer may perform some or all of the following tasks:
- Create, maintain, and modify code to receive and process laboratory data for production of datasets and/or reports.
- Create, maintain, and modify code to identify and resolve discrepancies between datasets/databases related to study specimens or assay results.
- Act as a liaison between SCHARP study teams and the external labs to ensure accurate database design and timely processing of study results.
- Work with SCHARP statisticians and external labs to define file specifications, quality checks, and dataset/file formatting.
- Collaborate with other SCHARP groups to develop and maintain standard programming quality practices including code standardization, verification and validation efforts, and associated documentation; contribute to adoption of CDISC standards as applicable
- Adhere and contribute to quality-assurance procedures, standard operating procedures and source code version control practices.
- Participate in and/or lead projects that support development or improvement of LDO processes, directing junior-level programmers and support staff as necessary.
- Work in a team environment, communicate effectively with colleagues, and be responsive to the needs of SCHARP staff as well as external collaborators as required
- Bachelor’s or Master’s degree in Biological Sciences, Computer Science or similar degree in a scientific, technical, or health-related field
- At least 5 years of practical programming experience, with experience in multiple programming languages, and at least 2 years of experience with SAS or Python programming
- Must be flexible, work well in a team environment, and be capable of meeting tight deadlines
- Must be organized and detail-oriented, with excellent oral and written communication skills
- 3+ years of SAS and/or Python programming experience in a scientific or health-related field
- Experience programming in support of laboratory data, clinical trials, statistical programming in a clinical research setting or other health research programming support preferred.
- Familiarity with database design, development and/or management
- Working knowledge of CDISC and/or other data standards
- Understanding of current/standard approaches to data collection, processing of raw data into analysis datasets, and other downstream research activities is highly desirable
- Preference will be given to candidates with experience in SAS programming related to laboratory assay data management or analysis
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Fred Hutchinson Cancer Research Center|
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