SUMMARY The AFHSD is the central, integrated, customer-focused epidemiologic and global health surveillance resource for the U.S. Armed Forces. The AFHSD requires a Subject Matter Expert (SME) in the field of disease modeling and prediction who can combine DoD health data with other available data sources and develop statistical models to predict disease threats to the military. This includes forecasting the spread and the severity of a known disease like influenza and COVID-19, as well as predicting where and when a novel disease is likely to emerge. ESSENTIAL DUTIES AND RESPONSIBILITIES Coordinate the development of predictive models for disease with partners in the USG interagency and academia to ensure that the DHA is responsive to the US military’s and Geographic Combatant Command (GCC) and Military Services Force Health Protection (FHP) needs.
Analyze DoD and open-source health surveillance data with the ultimate goal of predicting the onset of, and forecasting the further progression/transmission of, military-relevant.
Communicate the results of such disease modeling and prediction efforts to senior leaders and public health decision-makers, clearly explaining the degree of uncertainty surrounding the results.
Disseminate the results of analytical studies by way of preparation of briefings, manuscripts, presentations, information summaries, issue papers, and technical documents, as well as their sharing via websites and other media outlets based on target audiences.
Work with GIS experts to communicate the results graphically, where appropriate, through an interactive GIS-facilitated portal, to include, but not be limited to, the Health Surveillance Explorer or other disease assessment platforms available within the DoD or the USG interagency community at-large. EDUCATION and/or EXPERIENCE Masters in a related field and at least 3-5 years of experience in the field of disease modeling and prediction (will accept a Bachelors Degree). He/she must have a good breadth of knowledge of the scientific literature on this topic and have participated in collaborative efforts with academia, industry, or USG interagency.
Existing T3 investigation required. Secret security clearance or higher is desired. KNOWLEDGE, SKILLS AND ABILITIES Knowledge of SAS, R, Python, and statistical technical skills such as machine learning and neural network techniques.
Experience with visualization tools such as ggplot and Tableau.
Must have a good breadth of knowledge of the scientific literature on this topic and have participated in collaborative efforts with academia, industry, or USG interagency.
Ability to work under a federal contract supporting a DoD client, especially in the handling of sensitive but unclassified client information required.