SAS Statistician / Data Mining - CDC (Atlanta, GA)

Staff STATISTICIAN (Fulltime, On-SITE)
Location: Atlanta, Georgia
Project: Vaccine Analytic Unit

The Meningitis and Vaccine Preventable Diseases Branch (MVPDB), located within the Division of Bacterial Diseases (DBD) of the National Center for Immunization and Respiratory Diseases (NCIRD) is collaborating with the Department of Defense (DoD) and FDA on a series of studies to investigate the longer term safety of anthrax vaccine and other vaccines currently administered in DoD. This position will provide the opportunity to be part of a multi-agency working group actively involved in cutting edge research relevant to bioterrorism preparedness and vaccine development.

Scope of Work:

The main duties for this position are to participate in ongoing post- marketing surveillance studies with particular focus on data mining applications for conducting more real time surveillance for adverse events following immunizations using the DoD Defense Medical Surveillance System (DMSS) database. The incumbent would be expected to work with the current VAU statistician and programmer and other staff in the design, initiation, and implementation of complex epidemiologic studies and analyses. The incumbent would be asked to assist with all aspects of epidemiological research including: development, implementation, data management, data analysis and report/publication preparation. Travel to Washington, D.C. (approximately 4 - 6 trips per year) will be necessary and the incumbent may be asked to attend off-site scientific meetings.

Position Requirements:

A combination of a Master's of Science Degree (or equivalent) and 5 years of experience or a PhD and 3 years of experience that provides the knowledge, skills and abilities necessary for acceptable job performance is necessary. A minimum of two years experience using data mining methods on large linked databases is desirable. Candidates should have experience working with epidemiologic research studies, managing large linked databases and writing project reports or research protocols, as well as excellent SAS programming skills. Due to the consultative nature of this position, a candidate must also have excellent communication skills.

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