Spatial Epidemiology Fellowship, CDC
Category : Alumni
Description
A research opportunity is currently available with the Epidemiology and Surveillance Branch, in the Division for Heart Disease and Stroke Prevention (DHDSP), within the National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.
Under the guidance of a mentor, the selected participant will have the opportunity to train and gain experience in advanced spatial and spatiotemporal studies of heart disease and stroke morbidity and mortality.
These activities may include:
- Learning to create, update, analyze and manage very large datasets
- Training and participating in advanced spatial and/or spatio-temporal analyses of heart disease and stroke morbidity, mortality and risk factors using Bayesian and frequentist approaches
- Gaining experience writing manuscripts for submission to peer-reviewed journals and government reports
- Producing data visualizations of spatiotemporal data
- Conducting literature reviews
- Presenting the results to internal and external audiences, including professional meetings and/or conferences
- Other related activities as discussed with mentor that further the science base related to the small area surveillance and analysis of heart disease and stroke
The initial appointment can be up to one year, but may be renewed upon recommendation of CDC contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience.
Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Atlanta, Georgia, area. Participants do not become employees of CDC, DOE or the program administrator, and there are no employment-related benefits.
Preferred Skills
- Experience analyzing spatial and/or spatiotemporal data
- Experience in the management and analysis of large data sets
- Knowledge/Awareness of Bayesian statistical methods
- Experience using statistical software, such as SAS or R, for data analysis
- Experience with data visualization software, such as Power BI
- Experience using ArcGIS or other mapping software packages
- Strong written and oral communication skills
How to Apply
Click here to read more about this position and apply online!
