The Colorado School of Public Health (ColoradoSPH) has an opening for a full-time postdoctoral fellow. The Postdoctoral Fellow will join the Carlton Research Group and the Colorado COVID-19 Modeling Group. The Carlton Research Group is a multi-disciplinary team working to understand how social and environmental conditions, from climate change to urbanization, impact the spread of infectious diseases, and to provide data-driven analyses to improve infectious disease surveillance and control programs. The Colorado COVID-19 modeling group works closely with state and local government to model the course of the SARS-CoV-2 pandemic and inform policy-making. This is an opportunity to be part of a fast-paced, multidisciplinary team including biostatisticians, epidemiologists, mathematicians, infectious disease modelers and economists and to collaborate with state and local health officials to inform COVID-19 response in Colorado and the Rocky Mountain West.

The primary focus of this position will be the development and evaluation of mathematical modeling tools to allow the generation of estimates and projections over a regional network. This will include a combination of quantitative modeling and data visualizations. The postdoctoral fellow will be part of a team of scientists working to develop tools for estimating the potential future course of SARS-CoV-2, accounting for regional variability in policy, vaccine uptake and behavior. The team places a strong emphasis on innovative, collaborative model development and communication with stakeholders.

Examples of Work Performed
Contribute to the development and refinement of a metapopulation model of SARS-CoV-2 for Colorado and the Rocky Mountain west
Create, run and summarize model simulations and sensitivity analyses, working closely with others on the team
Contribute to the development of static and interactive data visualizations and work with stakeholders to promote clear, relevant communication
Critically review the literature to identify methodological approaches and inform model assumptions
Maintain documentation of analyses in code repositories (e.g., GitHub) as well as written (prose) documentation of methods
Attend regular meetings with the Colorado COVID-modeling team
Contribute to the preparation of manuscripts, reports and presentations

The ideal candidate will...
...be highly motivated, with strong quantitative training and excellent problem-solving skills
...have experience working with mathematical models of infectious disease
...be a team-player who is able to work in a fast-paced environment with a multi-disciplinary team

Minimum Qualifications
PhD or equivalent in infectious disease epidemiology, biostatistics, statistics or related discipline. Degree requirements must be met at the date of hire
Minimum of two years of experience with R or Python
Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications
Strong quantitative training
Training and/or experience in mathematical modeling of SARS-CoV-2 or other infectious diseases
Demonstrated record of scientific achievement
Strong written and oral communication skills
Strong critical thinking and problem-solving skills
Ability to work independently on data analysis and reporting
Ability to work well with a diverse team

For full description and applications, please see https://cu.taleo.net/careersection/2/jobdetail.ftl?job=24926&lang=en