Which Fellowship is Right for Me?

Fellows in both programs will complete a week-long orientation and training event in August, along with quarterly competency-based trainings and academic mentorship provided by the RSPH admin team.

Work to be completed

Fellows in both programs will complete a week-long orientation and training event in August, along with quarterly competency-based trainings and academic mentorship provided by the RSPH admin team.

All fellows complete a competency-achievement plan to document their health district activities and projects, which are guided by these competencies:

  • Data Analytics & Assessment
  • Public Health Sciences
  • Communications
  • Community Partnership
  • Policy Development & Program Planning
  • Leadership & Systems Thinking
  • Health Equity

All fellows must complete at least a: quality improvement/assurance or evaluation project; significant data analysis project; and oral or poster presentation.

Fellows will respond to emerging public health threats and needs of their districts, as assigned.

Rollins Epidemiology Fellowship

  • Entry-level position, with no more than 3 years’ experience post-Master’s
  • Fellows must have an MPH from a CEPH-accredited school or program of public health; Preferred in Epidemiology or similar degree program
  • Fellows will gain experience in case investigations, surveillance and developing epidemiologic reports for their districts, with an emphasis on communications and community partnership.

Outbreak Analytics Fellowship

  • Fellows must have a least 1, but no more than with no more than 4, years’ experience post-Master’s
  • Fellows can have a Master’s degree in Applied Mathematics, Epidemiology, Biostatistics, Bioinformatics, or Health Informatics; Certificate in Infectious Disease Epidemiology or Modeling or similar coursework
  • Fellows will gain experience in data modernization efforts and surveillance and outbreak analytics projects.
  • Fellows will partake in additional training and coursework in infectious disease modeling.