District 3-4 Gwinnett, Newton, Rockdale (OA)
This fellowship position is in District 3-4 Gwinnett, Newton, Rockdale (GNR) in Lawrenceville, Georgia. The fellow selected for this position will be an employee of Emory University’s Rollins School of Public Health for the duration of the fellowship but will spend their time working as an early-career epidemiologist in District 3-4. Fellows may be able to work remotely 1-2 days per week once fully trained.
The Fellow can expect to work on data-focused projects throughout the fellowship that incorporate the concepts of outbreak and surveillance analytics. Examples of projects include:
- Working with program leadership to enhance the existing surveillance and data analytics tracking and reporting systems for the GNR Infectious Disease Program areas including HIV Prevention, Sexually Transmitted Infection Prevention, and Tuberculosis Control. The main project goal is to develop a robust surveillance database allowing for just-in-time analytics, reporting, and production of program deliverable reports. This project involves:
- Working collaboratively with program staff to ensure appropriate tracking across multiple data platforms including SENDSS, EHARS, M&M and local tracking systems.
- Working with program leadership to develop quarterly and annual surveillance analytical reports including data visualization.
- Working with the HIV prevention team on HIV outbreak and molecular cluster surveillance.
- Working collaboratively with GNR Epidemiology Unit Data Epidemiologist and Epidemiology team. This project involves:
- Updating and enhancing existing surveillance data visualization and notifiable disease morbidity dashboards.
- Data analysis and functionality in Tableau, REDCap, SAS, and other standard analytic programs based on experience and preference of the Fellow.
- Collecting, analyzing, and summarizing outbreak data. Additionally, the Fellow will assist in the development of outbreak summary reports, abstracts, poster presentations, data summary reports, and other analytic summaries to share pertinent public health related data with our communities, peers, and other agencies/organizations.