Job Discription
Department | Epidemiology – 463501 |
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Posting Open Date | 04/12/2023 |
Application Deadline | |
Open Until Filled | Yes |
Position Type | Postdoctoral Scholar |
Position Title | Post-Doc Research Associate |
Vacancy ID | PDS003809 |
Full-time/Part-time | Full-Time Temporary |
Hours per week | 40 |
FTE | 1 |
Work Location | Chapel Hill, NC |
Position Location | North Carolina, US |
Hiring Range | Dependent on Qualifications |
Proposed Start Date | |
Estimated Duration of Appointment | 12 Months |
Primary Purpose of Organizational Unit |
The Department of Epidemiology is one of the seven departments located in the Gillings School of Global Public Health. The department’s primary focus is to the development and application of research methods to understand the patterns and causes of health and disease, and the application of that knowledge to improving the health of populations. We provide strong training in research methods and opportunities for the application of epidemiology to a wide range of health problems through our research. The achievements of our faculty, staff, students, and alumni have enabled us to become one of the leading academic departments of epidemiology in the world. The department has 38 Tenured-Tenure Track / 10 Joint Tenure-Track Faculty, 25 Fixed Term / 4 Joint Fixed Term Faculty, 115 Adjuncts, 22 EHRA Non-Faculty, 20 Postdocs, 46 SHRA (Staff), 29 SHRA Temporary and 202 Students. The department’s operating budget is 27 million a year. |
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Position Summary |
Work on a highly collaborative project that includes partners in industry, academia, and government. Methods developed over the course of this project will be applied to inform public health interventions to control infectious disease outbreaks such as cholera, Ebola, Zika, and SARS-CoV-2. The position will provide the opportunity to develop innovative approaches to forecasting and causal inference and apply those methods to solve real-world problems in outbreak response. |
Minimum Education and Experience Requirements |
PhD in epidemiology, biostatistics, public health, or a related field |
Required Qualifications, Competencies, and Experience |
* Some familiarity with methods in infectious disease dynamics, causal inference, or both. * Experience programming in statistical or general programming languages. * Highly motivated, organized, and comfortable working with other investigators to meet deadlines. |
Preferred Qualifications, Competencies, and Experience |
* The ideal candidate would have experience writing packages in R and/or Python and familiarity with unit and integration testing and version control systems like Git. * Experience in the management of large-scale research, scientific, medical, or academic projects |
Special Physical/Mental Requirements | |
Special Instructions |
For information on UNC Postdoctoral Benefits and Services |
Quick Link |
Department Contact Name and Title | Justin Lesler, Professor |
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Department Contact Telephone or Email | [email protected] |
Postdoctoral Affairs Contact Information |
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919) 966-3576 or send an email to [email protected]. Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status. |
Equal Opportunity Employer Statement |
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran. |
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
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