This job is open to US Citizens, Nationals, or those who owe allegiance to the US.
Ever wonder where the federal government comes up with national estimates of injuries treated in hospital emergency departments for:
- Hoverboards
- Sports-related concussions
- All-terrain vehicles
- Fireworks
- Furniture that tips over onto children
- Cribs, nursery products and thousands of other household products and recreational activities
- Drug side effects
- Work-related injuries
- Assaults
The national estimates you see and hear about in the media come from the U.S. Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) (http://www.cpsc.gov/en/Research–Statistics/NEISS-Injury-Data/).
The NEISS is a national statistical sample of emergency departments that provides our agency with real-time injury reports on a daily basis. In addition to capturing data on how people are injured while using products under the agency’s jurisdiction, through interagency agreements, the NEISS also collects a broad spectrum of injury data for other public health agencies like the CDC, NHTSA, and FDA.
The U.S. Consumer Product Safety Commission is looking for an individual who would like to come to work for a small, independent regulatory agency dedicated to protecting consumers from unreasonable and foreseeable risk and saving lives. This position is located in the Directorate for Epidemiology, Division of Hazard & Injury Data Systems, Statistical Support Branch. The Branch is responsible for designing, implementing and operating the various data systems used by the Commission, such as the NEISS, to learn about deaths and injuries associated with consumer products.
In addition to developing methods to maintain a high quality of data for Commission analysts and other data customers, our staff draws subsamples of the NEISS to focus on specific products of study; designs questionnaires for follow-back investigations; plans, builds and tests enhancements to the NEISS data collection instrument; and occasionally trains non-technical staff on the use of Commission data. Stratified sampling, non-response, imputation of missing values, classification trees, capture-recapture, predictive modeling, and early warning detection are just some of the statistical concepts used with the NEISS. The ideal candidate has a Master’s in Statistics or Applied Statistics. Some programming experience in SAS is preferred, although strong programmers in other computing languages are also encouraged to apply.
Follow this link to view the vacancy announcement in USAJOBS: https://www.usajobs.gov/GetJob/ViewDetails/474629900