CDC Spatial Epidemiology and Statistics Fellowship, due 10/28
Category : Alumni
A research opportunity is currently available with the Epidemiology and Surveillance Branch (ESB), Division of 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.
The Epidemiology and Surveillance Branch monitors heart disease and stroke patterns and trends through the timely collection, analysis, interpretation, and dissemination of programmatically relevant data.
Under the guidance of a mentor, the selected participant will have the opportunity to gain experience in advanced spatial and spatiotemporal studies of heart disease and stroke morbidity and mortality. These activities may include:
Creating, updating, analyzing and managing very large datasets
Participating in advanced spatial and/or spatio-temporal analyses of heart disease and stroke morbidity, mortality and risk factors using Bayesian and frequentist approaches
Writing summaries of methods, results and interpretations for use in government reports and peer-reviewed articles
Conducting literature reviews
Presenting the results to internal and external audiences, including professional meetings and/or conferences
Anticipated Appointment Start Date: October 28, 2019
This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. 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.
Qualifications
The qualified candidate should have received a master’s or doctoral degree in one of the relevant fields, or be currently pursuing one of the degrees and will reach completion by the start date of the appointment. Degree must have been received within five years of the appointment start date.
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 using ArcGIS or other mapping software package
For more information and to apply, click HERE.
