Postdoctoral Associate AD
Listed on 2026-01-01
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Research/Development
Data Scientist
G/R28629P
Working Title:Postdoctoral Associate AD
Department:Public Health-Epidem & Biostat
About the University of Georgia:Since our founding in 1785, the University of Georgia has operated as Georgia’s oldest, most comprehensive, and most diversified institution of higher education (https://(Use the "Apply for this Job" box below).). The proof is in our more than 235 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report.
The University’s main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University’s enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly formed School of Medicine.
Type:
Employee
Anticipated Start Date:07/01/2025
Posting Date:03/07/2025
Open Until Filled:Yes
Location of Vacancy:Athens Area
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Conduct scientific analyses
Percentage of time:50
Duties/Responsibilities:Writing papers
Percentage of time:40
Duties/Responsibilities:Presenting findings
Percentage of time:10
Classification Title:Post-Doctoral Associate AD
FLSA:Exempt
FTE:1.0
Position Summary:The goal of the post-doc is to produce analytic output useful for the control and measles and rubella. The postdoc will work on at least one of two proposed projects. The first is to modify an existing rubella transmission model to simulate the impact of introducing rubella containing vaccine into all remaining countries’ routine immunization programs. The results of this project will inform WHO policy on rubella vaccine introduction.
The second is to develop an analytic approach to analyze time and spatial measles IgG seroprevalence data to estimate and predict measles susceptibility profiles. The results of this project can be used to inform the utility and investment case for serological surveillance systems.
PhD in statistics, biostatistics, ecology, computer science, engineering, physics, mathematics, epidemiology, or other relevant field
Knowledge, Skills, Abilities and/or Competencies :- Research experience of working with mathematical and/or statistical models.
- A strong interest in infectious disease epidemiology.
- Ability to fit models to spatial-temporal data
- Good knowledge of coding in R. Good knowledge of coding in Python, C/C++
- Excellent verbal and written communication skills
- Experience in communicating research findings to a non-specialist audience
- Ability to work independently but also as part of a larger interdisciplinary research team
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