Lab Data Programmer : Seattle, WA, United States

Job ID: 557283
Job date: 2015-12-08
End Date:

Company : Fred Hutchinson Cancer Research Center 

Country :

Role : Research Scientist 


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Job Description:
Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for our pioneering work in bone-marrow transplantation, the five scientific divisions at Fred Hutch collaborate to form a unique environment for conducting basic and applied science. Fred Hutch, in collaboration with its clinical and research partners, the University of Washington and Seattle Children’s, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference! About the Division & Research Program: The Vaccine and Infectious Disease Division (VIDD) was established as an institute at Fred Hutch in 2007 to facilitate and enhance the Hutch’s efforts in infectious disease prevention and vaccine development. The institute achieved Division status in 2010 and now has more than 50 faculty members and houses the HIV Vaccine Trials Network (HVTN) - the world’s largest clinical trials network for the development and testing of an HIV vaccine. Biostatistics, Bioinformatics, & Epidemiology (BBE) is a research program within the Vaccine and Infectious Disease Division of the Fred Hutch. With the goal being to eliminate the mortality and morbidity of infectious diseases, members of the program conduct quantitative scientific research employing biostatistics, bioinformatics, computational biology, infectious disease epidemiology, and mathematical modeling. Members of the program collaborate extensively with laboratory and clinical science colleagues both within the Hutch and provide leadership for statistical data management centers and modeling consortia worldwide. About SCHARP: As part of the BBE program in VIDD, The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) provides statistical collaboration to infectious disease researchers around the world and conducts a complementary program of statistical methodology, and mathematical modeling research. SCHARP also collects, manages, and analyzes data from clinical trials and epidemiological studies dedicated to the elimination of infectious disease as a threat to human health. Current projects include studies to evaluate and implement prevention strategies for HIV, tuberculosis, polio, malaria and other globally important pathogens. Job Summary: We are looking for an experienced, innovative and collaborative Lab Data Programmer to join the SCHARP Laboratory Data Operations (LDO) group. Part of the SCHARP Data Management Unit (DMU), the LDO team 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. Primary projects include managing lab data from studies implemented by the HIV Vaccine Trials Network (HVTN), HIV Prevention Trials Network (HPTN), Microbicides Trials Network (MTN) and the Collaboration for AIDS Vaccine Discovery (CAVD). 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 work in a team environment and is expected to communicate effectively with colleagues and be responsive to the needs of SCHARP staff as well as external collaborators as required. Responsibilities 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:

  1. Create, maintain, and modify code to receive and process laboratory data for production of datasets and/or reports.
  2. Create, maintain, and modify code to identify and resolve discrepancies between datasets/databases related to study specimens or assay results.
  3. Act as a liaison between SCHARP study teams and the external labs to ensure accurate database design and timely processing of study results.
  4. Work with SCHARP statisticians and external labs to define file specifications, quality checks, and dataset/file formatting.
  5. 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.
  6. Adhere and contribute to quality-assurance procedures, standard operating procedures and work practice guidelines and support documentation of those efforts; Adhere to source code version control practices for all internally developed code.
  7. Participate in and/or lead projects that support development or improvement of processes described above.
  8. Other duties as assigned.
Qualifications Minimum qualifications:
  • Bachelor’s or Master’s degree in Biological Sciences, Computer Science or similar degree in a scientific, technical or health-related field
  • At least 3 years of practical programming experience and at least 1 year of experience with SAS, R, 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
Preferred qualifications:
  • 3+ years of SAS 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
  • 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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