Clemson University’s Department of Public Health Sciences Seeks:

POST DOCTORAL FELLOW
Title: Post Doctoral Fellow
Location: Department of Public Health Sciences (Clemson University’s main campus, SC)
Term: renewable 12-month position
Start date: August 1, 2023 (negotiable)

Clemson University’s Center for Public Health Modeling and Response (PMAR) invites applications for a Postdoctoral Research Fellow. The Fellow will work on a new NIH R01 funded project: Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemics (PI: Rennert). The main areas of focus are 1) development and implementation statistical models to estimate infectious disease transmission dynamics and disease prevalence and 2) development and implementation predictive modeling frameworks to predict infectious disease trajectories and allocate resources (via Bayesian statistical models, machine learning, or mathematical models such as compartment-based or agent-based models).

Duties and responsibilities:
The postdoctoral fellowship will focus on developing and implementing quantitative methods to model infectious disease dynamics at the local and state level, with the ultimate goal of detecting/predicting disease hotspots and informing real-time resource allocation efforts. The postdoc will be expected to lead quantitative publications for the models developed and collaborate (or lead) on publications in public health, medical, and policy journals.

The Fellow’s main appointment will be in the Department of Public Health Sciences, with Dr. Rennert as the primary advisor. The Fellow will also work closely with (bio)statisticians and epidemiologists from Clemson University’s School of Mathematical and Statistical Sciences and University of San Diego’s Division of Infectious Disease and Global Public Health. The appointment will be for two years with highly competitive salaries and benefits and a negotiable start date.

The candidate must be highly motivated with a PhD in statistics, biostatistics, epidemiology, computer science, or a related quantitative field. Experience with statistical prediction, Bayesian approaches, mathematical modeling, or machine learning are desired. Solid coding experience in R, C Plus Plus, Python, or a related software package is essential.

Applicants should submit a cover letter, CV, and contact information for three references through Interfolio: insert link here Inquiries should be sent to Dr. Lior Rennert (liorr@clemson.edu). The application deadline is May 1st, 2023.

Salary: $65,000
Benefits: https://www.clemson.edu/human-resources/benefits/index.html