Public Health Readiness & Response Data Fellowship

Oak Ridge Institute for Science and Education; Atlanta (GA); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Stipend varies by factors

Job summary

Oak Ridge Institute for Science and Education offers a fellowship in epidemiology and data analytics with CDC RADSS in Atlanta, GA. The program focuses on applied data analysis, dashboard development, and QA/QC for public health emergency preparedness and response.

You will gain hands-on experience in data interpretation, visualization, and decision support, working with mentors to inform leadership and public health partners.

Qualifications

• Master's or doctoral degree earned within the past five years.
• Experience or knowledge in public health readiness and response is strongly preferred.
• Strong proficiency with Microsoft Office products.
• Experience or knowledge in virtual communication platforms is preferred.
• Experience coding in R, Python, or other languages is a plus.
• Experience with visualizing epidemiological data, including charts, tables, and maps.

Responsibilities

• Apply epidemiologic methods to support public health emergency preparedness and response activities.
• Analyze public health data and develop visualizations for situational awareness.
• Collaborate on dashboard development and data items used in emergency responses.
• Conduct QA/QC to ensure data quality for operational needs.
• Provide timely information to response leadership through analyses and dashboards.

Skills

Public health readiness

Oral and written communication

Microsoft Office

Virtual communication platforms

R/Python coding

Data visualization

Education

Master's or Doctoral degree

Tools

R

Python

Job description

Oak Ridge Institute for Science and Education offers a fellowship in epidemiology and data analytics with CDC RADSS in Atlanta, GA. The program focuses on applied data analysis, dashboard development, and QA/QC for public health emergency preparedness and response.

You will gain hands-on experience in data interpretation, visualization, and decision support, working with mentors to inform leadership and public health partners.