Clemson University’s Center for Public Health Modeling and Response (PHMR) invites applications for a Postdoctoral Fellowship to join a CDC funded center grant to create a national network in outbreak analytics and disease modeling. The mission of PHMR is to develop and utilize data-driven approaches to inform clinical and public health decision-making and assist the ability of health organizations and communities to prepare for, and respond to, public health threats. The Postdoctoral Fellow will be a part of Clemson’s DMA-PRIME division (Disease Modeling and Analytics to inform outbreak Preparedness, Response, Intervention, Mitigation, and Elimination). For this position, we seek an enthusiastic, collaborative researcher with training in spatial visual analytics and Geographic Information Systems with an interest in developing and implementing techniques to inform and improve outbreak detection, forecasting, and public health response nationwide.
Duties and responsibilities: The postdoctoral fellowship will focus on developing and implementing GIS and data visualization methodology, with the ultimate goal of detecting/ predicting disease hotspots and informing real-time outbreak response efforts. The models will be integrated into health systems across South Carolina to 1) inform and improve strategic delivery of mobile health clinics for infectious disease testing, treatment, and vaccination, 2) inform community awareness, and 3) run statewide disaster simulation scenarios. The postdoc will be expected to lead publications for the models developed and collaborate on (or lead) publications in public health, medical, and policy journals for research related to implementation of the methods developed.
Supervision
The Postdoctoral Fellow’s main appointment will be within the Center for Public Health Modeling and Response, located within the Department of Public Health Sciences. Dr. Rennert and Dr. Iuricich will serve as the primary advisors. The appointment is funded for 2 years, with future years contingent on funding/performance. Salary is highly competitive with a competitive benefits package and negotiable start date.
Required Qualifications
- A PhD in statistics, computer science, data science, or related fields, with demonstrated knowledge in Geographic Information Systems, Spatial Statistics, and spatial data analysis for public health.
- Experience with R and Python programming languages.
- Experience with applications such as Esri ArcGIS Pro.
- Experience working in a research team
- Experience leading publications
- Ability to work independently, meet deadlines, and push forward a program of research
Desirable Qualifications
- Experience in visual analytics and spatial data visualization
- Experience in developing interactive visualizations in D3.js or similar libraries
- Experience with web programming
Application Instructions: Applicants should submit a cover letter, CV, and contact information for three references through Interfolio: apply.interfolio.com/136199
Inquiries should be sent to Dr. Lior Rennert (liorr@clemson.edu) and Dr. Federico Iuricich (fiurici@clemson.edu).
Salary: $65,000 (higher salary negotiable with experience)
Benefits: https://www.clemson.edu/human-resources/benefits/index.html
Clemson University is an Affirmative Action/Equal Opportunity employer and does not discriminate against any individual or group of individuals on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status or genetic information.