Postdoctoral Position in Optimizing Public Health Responses to Control Antimicrobial-resistant Gonorrhea
Applications are welcomed for a NIH-funded postdoctoral position, available immediately. The postdoc will work under the direction of Dr. Reza Yaesoubi in the Yale School of Public Health, Department of Health Policy and Management. The successful candidate will have the opportunity to lead projects broadly related to optimizing efforts to control antimicrobial-resistant (AMR) gonorrhea. This includes, but is not limited to, modeling the transmission dynamics of AMR gonorrhea within and between different population groups, optimizing the surveillance of AMR gonorrhea through adaptive sampling, and evaluating the cost-effectiveness of public health strategies to control AMR 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 and Skills
- Doctoral degree in infectious disease modeling, applied mathematics, epidemiology, operations research, computational biology, computational ecology, 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.
Benefit and Compensation Information
Candidates should submit a cover letter along with an updated resume or CV and contact information for 3 professional references.
For additional information, please contact Assistant Professor Reza Yaesoubi, Department of Health Policy and Management, Yale School of Public Health.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.