Posting Information
Posting Details
Department |
Epidemiology - 463501 |
Posting Open Date |
09/25/2024 |
Application Deadline |
|
Open Until Filled |
Yes |
Position Type |
Postdoctoral Scholar |
Position Title |
Post-Doc Research Associate |
Vacancy ID |
PDS004348 |
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 |
Position Information
Be a Tar Heel! |
A global higher education leader in innovative teaching, research and public service, the
University of North Carolina at Chapel Hill consistently ranks as
one of the nation's top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.
Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.
UNC-Chapel Hill offers postdocs comprehensive
medical and vision coverage, paid leave, and
benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community. |
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 30 Tenured-Tenure Track / 7 Joint Tenure-Track Faculty, 25 Fixed Term / 3 Joint Fixed Term Faculty, 120 Adjuncts, 19
EHRA Non-Faculty, 15 Postdocs, 34
SHRA (Staff), 44
SHRA Temporary and 202 Students. The department's operating budget is 27 million a year. |
Position Summary |
Successful candidates will join the newly formed Atlantic Coast Center for Infectious Disease Dynamics and Analytics (
ACCIDDA) on a project aimed at developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks.
ACCIDDA is part of the newly formed
CDC-funded national network of centers of excellence for Outbreak Analytics and Disease Modeling (
OADM), named Insight Net. This position's efforts will be dedicated to running, analyzing and reporting on emergency and specialized rounds of the U.S. Scenario Modeling Hub with a focus on informing critical policy questions around infectious disease response. This position will collaborate with a network of scientists and public health practitioners to develop solutions to problems that have direct impacts on population health. Work with this center will provide numerous opportunities to work with other Insight Net centers and public health partners, as well as have a direct impact on the work of the
CDC Center for Forecasting and Outbreak Analytics. |
Minimum Education and Experience Requirements |
PhD in epidemiology, biostatistics, computational biology, public health, or a related field |
Required Qualifications, Competencies, and Experience |
* Research experience in epidemiology, biostatistics, computational biology, computer science, public health, or a related field
* Experience in epidemiology, statistics, or other quantitative field
* Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence |
Preferred Qualifications, Competencies, and Experience |
* Writing programs and performing analysis in R and/or Python
* Experience with version control systems like Git
* Experience working as part of large-scale research, scientific, medical, or academic projects
* Experience working in, or in support of, public health agencies or departments |
Special Physical/Mental Requirements |
These efforts include preparedness for emergency response to infectious threats. As such, high-stress conditions involving rapid staff deployment and emergency protocol implementation might be experienced. |
Special Instructions |
For information on
UNC Postdoctoral Benefits and Services
click here |
Quick Link |
https://unc.peopleadmin.com/postings/288816 |
Posting Contact Information
Department Contact Name and Title |
Justin Lesler, Professor |
Department Contact Telephone or Email |
jlessler@unc.edu |
Postdoctoral Affairs Contact Information |
If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to
opahr@unc.edu.
Please note: The Office of Postdoctoral Affairs 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. |
|