Minimum Qualifications: PhD in geospatial science, computer engineering, computer science, biological or agricultural engineering, epidemiology, bioinformatics, computational modeling, or a closely related field; Knowledge geospatial modeling in advanced computing environments with potential for application in geo-epi and animal production domains; Applicants must have excellent oral and written communication and organizational skills; Demonstrated ability in developing manuscripts and presentations using Microsoft Office (MSWord and PowerPoint); Proficiency in programming languages such as Python, R, MATLAB, or other related software programs; Ability to accomplish research independently; Demonstrated ability to work in multidisciplinary teams; Legally eligible to work in the United States. The candidate will be responsible for developing operational workflows, data curation and pipelines that include the use of high-performance computing; Collaborate with external stakeholders, especially scientists at the USDA Agricultural Research Service to co-produce research with practical applications at the intersection of geosystems, agrisystems, and animal disease transmission; Participate in the preparation of technical reports, briefings, and presentations that demonstrate results to sponsors and stakeholders; Disseminate research results via conference proceedings, journal manuscripts, and other interactive and engaging media; Train and mentor graduate and undergraduate student researchers in various research labs.