Postdoctoral Fellow in Infectious Disease Modeling – Clemson University

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 mathematical or statistical modeling with an interest in developing and implementing methodology for outbreak analytics and infectious disease forecasting.

Duties and responsibilities: The postdoctoral fellowship will focus on developing and implementing methodology for infectious disease forecasting based on electronic health records (EHR) and environmental data sources (e.g., wastewater). Ultimately, these models will be used for real-time distribution of mobile health clinics, resource procurement, and allocation of essential resources during health emergencies. 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. McMahan 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, mathematics, data science, or related fields
  • Experience in R, Matlab, C++, Python, or other coding language
  • Experience leading publications
  • Ability to work independently, meet deadlines, and push forward a program of research

 Desirable Qualifications

  • Experience with forecasting
  • Experience with mathematical modeling
  • Experience with conducting simulation studies

Application Instructions: Applicants should submit a cover letter, CV, and contact information for three references through Interfolio: apply.interfolio.com/136186

Inquiries should be sent to Dr. Lior Rennert (liorr@clemson.edu) and Dr. Christopher McMahan (mcmaha2@clemson.edu).

Salary: $65,000 (higher salary negotiable with experience)

 

Benefitshttps://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.