Epidemiology and Information Science Fellowship, CDC

Epidemiology and Information Science Fellowship, CDC

Description 

A fellowship opportunity is available within the Influenza Division (ID) Epidemiology and Prevention Branch of the National Center for Immunization and Respiratory Diseases (NCIRD) at the Centers for Disease Control and Prevention (CDC) located in Atlanta, Georgia. ID provides the scientific and programmatic foundation and leadership for the diagnosis, prevention, and control of influenza domestically and internationally.

The Applied Research and Modeling (ARM) Team, Epidemiology and Prevention Branch, Influenza Division, at the Centers for Disease Control and Prevention is seeking a motivated masters level graduate with a background in epidemiology, biostatistics, or data science. This position will offer a unique opportunity to train with a multi-disciplinary team focusing on innovative ways to gather, analyze, and disseminate public health information. 

The ARM team supports surveillance and research platforms that supplement our understanding of influenza disease burden and severity through data analysis and mathematical modeling. The Team is particularly interested in exploring the potential utility of new and under-used data sources that could allow for better or timelier understanding of the epidemiology and burden of influenza.

Under the guidance of a mentor, the participant will train with researchers on the team on the analysis and visualization of various information sources. The participant will primarily be involved in projects that include: assisting with analysis of various surveillance data sources and special studies in the Branch and use of that data to make routine estimates of influenza disease burden. The participant will also develop an understanding of how analytics and modeling support the response to seasonal and pandemic influenza.  

 

Qualifications

The qualified candidate should have received a master’s degree in one of the relevant fields (Computer, Information, and Data Sciences; Life Health and Medical Sciences; or Mathematics and Statistics). Degree must have been received within five years of the appointment start date.

Preferred skills

  • Coursework or experience with data importation, manipulation, and analysis
  • Experience with SAS and R

 

How to Apply 

  • Click here to read more about this opportunity and apply online! 
  • Application deadline: March 2nd, 2021

 

 


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