USDA-ARS Modeling the Spread and Control of High-Consequence Zoonotic Pathogens jobs in United States
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Oak Ridge Institute for Science and Education ยท 23 hours ago

USDA-ARS Modeling the Spread and Control of High-Consequence Zoonotic Pathogens

The Oak Ridge Institute for Science and Education, under the U.S. Department of Agriculture (USDA), is offering a research opportunity focused on modeling the spread and control of high-consequence zoonotic pathogens. The role involves developing computational models, integrating multidisciplinary datasets, and collaborating with scientists to inform prevention strategies for emerging zoonotic diseases.

Government Administration
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Develop and refine computational models to predict the emergence and spread of high-consequence zoonotic pathogens
Integrate multi-disciplinary datasets (e.g., epidemiological, ecological, environmental, land use, and social determinants) with virological and molecular data
Participate in scenario-based modeling to evaluate the potential impact of interventions such as vector control, vaccination, or movement restrictions
Collaborate with USDA scientists, academic partners, and federal collaborators to link modeling outputs with real-world decision-making
Contribute to peer-reviewed publications, reports, and presentations that communicate modeling outcomes to scientific, agricultural, and policy stakeholders

Qualification

Mathematical modelingStatistical programmingEpidemiological modelingGISSpatial analysisInfectious disease knowledgeData visualizationProblem-solving skillsCollaboration skillsCommunication skills

Required

The qualified candidate should be currently pursuing or have received a master's or degree in the one of the relevant fields (e.g. epidemiology, ecology, computational biology, bioinformatics, data science, mathematical modeling, or a related discipline)
Citizenship: U.S. Citizen Only
Degree: Master's Degree

Preferred

Experience with mathematical, computational, or epidemiological modeling (e.g., SEIR models, agent-based models, network analysis)
Proficiency in statistical programming (R, Python, Julia, MATLAB)
Familiarity with GIS and spatial analysis tools (ArcGIS, QGIS, or R spatial packages)
Ability to integrate multidisciplinary datasets (epidemiology, ecology, environment, land use, virology, social sciences)
Knowledge of infectious disease epidemiology or outbreak dynamics
Strong skills in data visualization, interpretation, and communication for scientific and policy audiences
Demonstrated research experience through thesis or applied projects
Interest in applying interdisciplinary data to understand zoonotic pathogen spread and to test potential interventions
Strong problem-solving, collaboration, and communication skills

Benefits

Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.

Company

Oak Ridge Institute for Science and Education

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The Oak Ridge Institute for Science and Education is a U.S.

Funding

Current Stage
Late Stage
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