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Under supervision at the health district, day-to-day activities of the fellows include, but are not limited to planning, developing, and conducting epidemiologic investigations, surveillance, outreach and interventions limited in scope and/or complexity to determine the causes of diseases and implementing methods of disease control. Fellow duties also include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency based professional development trainings and comradery-building programming.
KEY RESPONSIBILITIES:
ADDITIONAL JOB DETAILS:
Fellowship positions are located at the health district site and require in person attendance. Under supervision at the health district, day-to-day activities of the fellows include, but are not limited to: planning, developing, and conducting epidemiologic investigations, surveillance, outreach and interventions limited in scope and/or complexity to determine the causes of diseases and implementing methods of disease control. Fellow duties also include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency based professional development trainings and comradery-building programming.
Primary Duties and Job Responsibilities:
Competency Achievement Plan:
To successfully complete and graduate from the Rollins Epidemiology Fellowship, fellows are minimally expected to complete an oral presentation, a surveillance evaluation/quality improvement project, and a significant data analysis project over the course of the two years. Fellows are expected to work on projects and activities related to seven Core Competencies:
Example Projects:
1. Community Needs Assessment (CNA) Using Data Analytics: Identify disparities in healthcare access, chronic disease prevalence, and social determinants of health to guide resource allocation and inform policies tailored to vulnerable populations.
2. Quality Improvement in Public Health Programs: Assess and enhance the effectiveness of existing programs (e.g., immunization rates, infectious disease prevention) to improve program efficiency, increase service utilization, and strengthen data-driven decision-making.
3. Predictive Modeling for Public Health Interventions: Use machine learning or statistical modeling to forecast outbreaks or identify high-risk groups.
ADDITIONAL INFORMATION:
MINIMUM QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week's advance notice is preferred.