Lab Data Manager
Fred Hutchinson Cancer Research Center
Seattle, WA
Job ID 6998
Overview
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 Manager 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 data managers provide support for the management, quality control, reporting, and analysis of specimen and laboratory assay data. The incumbent will work in a team environment and is expected to communicate effectively with internal staff and external collaborators with the goal of maintaining data integrity.
Responsibilities
Responsibilities:
In support of research network operations, funding agency requirements, and organizational needs, the Lab Data Manager may perform some or all of the following tasks:
- Work with SCHARP statisticians and external labs to define file specifications, quality checks, and dataset/file formatting. Manage requirements gathering and set-up processes for specimen testing and shipping requests.
- Work closely with Lab Data Operations Programmers to test and validate code for identifying 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 report design and timely processing of study results.
- Work with collaborators to investigate and resolve data discrepancies; Work with LDO programmers to troubleshoot code issues; Identify opportunities for process improvements and collaborate to develop and implement solutions.
- Adhere and contribute to quality-assurance procedures, standard operating procedures and work practice guidelines and support documentation of those efforts;
- Participate in and/or lead projects that support development or improvement of processes described above.
- Other duties as assigned.
Qualifications
Minimum qualifications:
• Bachelor’s or Master’s degree in Epidemelogy, Biological Sciences, Biostatistics/Statistics, Computer Science or similar degree in a scientific, technical or health-related field
• At least 3 years of practical data managementexperience and at least 1 year of experience with SAS or similar software
• 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 data management experience in a scientific or health-related field
• Experience managing data from clinical trials, preferably laboratory or specimen data.
• Familiarity with database management, maintenance, design and/or development
• 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 data management. Please include a cover letter when applying for this position either as an additional attachment on your profile or merged into the file that contains your resume.