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Organization U.S. Department of Defense (DOD) Reference Code DTRA-2026-0003R How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Test Support
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: Through this opportunity, you will train on projects related to quality control management and clinical diagnostic testing for poxviruses and rabies virus. Under the guidance of a mentor, you will: Gain
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/abstract and full-text screening using established software platforms, and extract relevant clinical data from selected studies. Assessing the risk of bias and methodological quality of included studies
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analytical tools, including software and open-source resources, to evaluate, analyze, interpret, and communicate scientific information relevant to environmental and public health. Training will include
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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to: Gain experience conducting analyses of national surveillance datasets (e.g., NHANES, NHIS, National Hospitalizations Data) and healthcare databases (e.g., Medicare and Medicaid) to examine clinical and
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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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; preparing biological samples for testing; coordinating and optimizing insect behavioral assays Data Management: maintaining meticulous experimental data records, digital database entry, and basic statistical
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. Analytical reporting, visualization, or dashboard development; Apache Hadoop, Apache Spark, cloud computing, or high-performance computing. Git, software testing, code review, or technical documentation
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you