Applications are welcomed for a NIH-funded postdoctoral position, available immediately. The successful candidate is expected to develop new mathematical/simulation models to study the impact and cost-effectiveness of novel surveillance strategies for controlling antimicrobial-resistant gonorrhea. This project is an integral element of a joint research program of investigators at Yale School of Public Health, Harvard T.H. Chan School of Public Health, and the Stanford Center for Health Policy. Our team of investigators includes decision scientists, infectious disease epidemiologists, health economists, and operations researchers.

The successful applicant will be expected to participate as lead author in publications arising from this work and to communicate findings in oral presentations at national and international conferences. Strong emphasis will be placed on career development, communication skills, grantsmanship, and interdisciplinary research. The successful applicant will also have the opportunity to engage in other public health related problems including, but not limited to, adaptive response to novel viral pathogen outbreaks and mitigating drug-resistant tuberculosis epidemics in high-burden settings.

We are seeking candidates who are willing to commit to at least 2 years of work on this project.

Qualifications:

• Doctoral degree in Applied Mathematics, Epidemiology, Operations Research, Computational Biology, Ecology, Evolutionary Biology, Statistics, Biostatistics, Computer Science, or related quantitative disciplines.
• While not essential, previous experience with transmission dynamic models of infectious diseases of humans or animals is ideal.
• Strong background in mathematical/simulation models, statistics, probability, and numerical analysis.
• Strong programming skills.