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The Mathematician supports the U.S. Air Force School of Aerospace Medicine (USAFSAM), Aerospace Medicine Studies and Analysis Division (FES), by developing advanced mathematical, statistical, and analytical models that improve force health protection, operational readiness, and human performance. This position analyzes complex health, personnel, operational, and deployment-related data to support epidemiological research, program evaluation, predictive analytics, and evidence-based decision-making across the U.S. Air Force.
The Mathematician supports the U.S. Air Force School of Aerospace Medicine (USAFSAM), Aerospace Medicine Studies and Analysis Division (FES), by developing advanced mathematical, statistical, and analytical models that improve force health protection, operational readiness, and human performance. This position analyzes complex health, personnel, operational, and deployment-related data to support epidemiological research, program evaluation, predictive analytics, and evidence-based decision-making across the U.S. Air Force.
Design, formulate, and conduct mathematical and statistical analyses of health surveillance, medical, personnel, operational, and deployment-related datasets supporting Air Force research and readiness initiatives.
Develop innovative analytical methodologies to solve complex operational and public health challenges.
Perform quantitative analyses supporting program evaluation related to human performance, operational readiness, force health protection, and organizational effectiveness.
Develop, test, and refine mathematical and statistical models that examine relationships between variables and operational outcomes.
Conduct model verification, validation, and performance assessments, implementing corrective actions when necessary.
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Retrieve, integrate, and manage health information, personnel, deployment, operational, and surveillance data from multiple military data repositories.
Collect and organize data from approved government databases in accordance with established data-sharing agreements.
Develop comprehensive data dictionaries, metadata documentation, and data mapping specifications.
Design data storage architecture and establish relationships among disparate datasets.
Document programming code and analytical methodologies in accordance with USAFSAM programming standards and industry best practices.
Develop analytical datasets and perform statistical analyses using: SAS SAS Enterprise Guide Mathematical and statistical programming languages such as Python, R, MATLAB, Maple, or Visual Basic.
SAS
SAS Enterprise Guide
Mathematical and statistical programming languages such as Python, R, MATLAB, Maple, or Visual Basic.
Apply advanced quantitative methods, including longitudinal analysis, predictive modeling, regression analysis, simulation modeling, and decision analysis.
Learn and utilize emerging analytical platforms, including Tableau, SAS Viya, Qualtrics, and Envision, to enhance analytical capabilities.
Prepare technical reports, white papers, presentations, and briefing materials summarizing analytical methods and study findings.
Present research results through technical briefings, scientific conferences, and peer-reviewed publications.
Assist in preparing conference posters, presentations, and manuscripts supporting dissemination of research products.
Support knowledge transfer by documenting analytical processes and briefing government personnel on study methodologies and results.
Serve as a mathematical and statistical subject matter expert on multidisciplinary research teams.
Collaborate with epidemiologists, statisticians, data scientists, clinicians, and government stakeholders to support operational research and public health initiatives.
Interface regularly with USAFSAM/FES leadership and technical staff.
Obtain and maintain required permissions for access to military health, personnel, and operational databases.
Develop familiarity with Air Force medical, personnel, operational systems, and associated data repositories.
Minority- and service-disabled veteran-owned defense contractor providing advisory, technical, and IT services to federal DoD clients.
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Mid · 3+ years experience
Remote
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