Evaluation Fellow Application - 2025

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The CDC Evaluation Fellowship Program aims to expand the capacity of CDC programs to conduct evaluation and increase its usefulness and impact. The Fellowship signifies CDC’s dual commitment to making program evaluation a standard part of practice and to developing a cadre of professionals with the skills to make that happen.
 
The Fellowship is intended to be a two-year program, with the second year being contingent on satisfactory performance and availability of funds.
 
The following criteria determine if an applicant is eligible:
  • Have U.S. citizenship or permanent resident with a green card valid for at least two years from the start of the Fellowship (mid-August).
  • Have significant applied program evaluation experience and able to document three projects that demonstrate the depth and breadth of the evaluation experience.
  • Have a doctoral or master's level degree from an accredited academic institution in a field relevant to CDC's work. Examples of degree concentration include public health, epidemiology, sociology, anthropology, biostatistics, and community psychology.
  • For upcoming or recent graduates, the degree must be conferred by the end of the spring semester of the application year.
To become a fellow, if accepted, the applicant must:
  • Meet CDC/ATSDR requirements for general employment suitability (e.g., favorable background security check for U.S. Government employment).
  • Commit full time to the Fellowship assignment for two years (the second year is determined by satisfactory performance and availability of funds).
  • Relocate to the location of the CDC host program (most are in Atlanta, Georgia).
 
Please Note -
  • Ensure contact information in this section is correct as it will be used to match these responses with additional information you will be required to provide.
  • Use a personal email address. Do not use a school/university or work email address.
  • Do not use generative AI or large language model tools (such as Chat GPT, Google Bard, Co-pilot, and others) to generate your response to questions. If we detect that your responses were created using generative AI or a large language model, it may negatively impact your application score.