-Monitor and evaluate the quality of data from multiple sources, including the National Electronic Injury Surveillance System (NEISS), death certificates, investigations, and other surveillance data. -Develop and implement text analytics and machine learning-based tools to evaluate and classify injury and product hazards in NEISS and other data sources. -Use statistical software and programming tools such as SAS and Python to develop programs for data processing, cleaning, preparation, analysis, and reporting. -Support current processes, data management, and reporting while also working to identify, recommend, and implement improvements in workflows and quality control programs. -Provide reports for internal and external dissemination, such as product injury summary reports which may include coefficients of variation and population rates. -Design, monitor, and evaluate statistical studies and questionnaires in collaboration or consultation with staff from other Divisions or other government agencies. -Provide technical expertise to support statistical analyses of trends in injury and mortality surveillance data. -Prepare technical reports and presentations to acquaint internal and external customers with uses and limitations of Commission data. -Provide organizational support to project initiatives (e.g., preparing agendas, project plans, presentations, and reports; coordinating meetings; maintaining records).