ORISE Fellowship, GIS Geospatial Epidemiology and Applied Research

ORISE Fellowship, GIS Geospatial Epidemiology and Applied Research

Category : Alumni

This ORISE fellowship appointment is available to participate on the Geospatial Research, Analysis, and Services Program (GRASP) with the Geospatial Epidemiology and Applied Research Team within the Agency for Toxic Substances and Disease Registry (ATSDR) at the Centers for Disease Control and Prevention (CDC), located in Atlanta, Georgia.

The Centers for Disease Control and Prevention (CDC) is one of the major operation components of the Department of Health and Human Services. CDC works to protect America from health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad, are chronic or acute, curable or preventable, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same. CDC increases the health security of our nation. As the nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish its mission, CDC conducts critical science and provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise.

For nearly 30 years, GRASP has led the application of geography in public health to prevent disease, prolong life, and promote health. GRASP works across the CDC, the ATSDR, and the public health community to examine patterns associated with environmental health, public health emergencies, infectious and chronic disease, and injury.

The qualified candidate should have received a master’s or doctoral degree in one of the relevant fields, or be currently pursuing a doctoral degree with completion before December 31, 2028. Degree must have been received within the past five years. 

Preferred Skills/Experience:

  • Degrees or coursework in public health, environmental or social sciences, or geography is preferred.
  • Experience or competency with one or more of the following: ArcGIS, QGIS, R, SAS, Python, Tableau, PowerBI, SQL.

For more information and to apply, please click here


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