A doctoral-level researcher position is available at the International Vaccine Institute based in Seoul, South Korea with contract duration of 2 years.
The successful candidate will conduct projects studying global burden of disease and impact of vaccines for cholera and typhoid fever using mathematical and statistical models. The tasks will involve identifying information on the diseases and the vaccines and developing strategies to model the burden and impact of vaccines. The selected applicant is expected to execute the project and during the process, prepare manuscripts, help write grant proposals and generate independent research questions. Our research team is a member of the Vaccine Impact Modelling Consortium (https://www.vaccineimpact.org/) based in Imperial College London, which comprises over 40 disease modeling experts in the world. This project will involve interacting with fellow modelers and also global funding agencies such as Gavi, the Vaccine Alliance (https://www.gavi.org/) and Bill & Melinda Gates Foundation (https://www.gatesfoundation.org/).
The ideal candidate should have completed a PhD (or MSc with substantial practical experience) in epidemiology, statistics, applied mathematics, health economics, or other highly quantitative fields. The position requires fluency in a computer programming language (preferably R) and good oral and written English communication skills. Previous experience in infectious disease modeling is preferred. Interested applicants should submit a curriculum vitae, 1-2 page statement of interests, and contact information for 2-3 references.
Job Requirements and Qualifications:
- Education Requirements
- Ph.D., Master’s degree or equivalent (Epidemiology, Statistics, applied mathematics, health policy, other highly quantitative fields)
- Related Field Work Experience
- Ph.D. or equivalent: 3+ years
- M.Sc. or equivalent: 7+ years
- Technical and Professional Skills / Knowledge
- Infectious disease modeling and health economics
- Statistical analysis (statistical inference, maximum likelihood, Bayesian inference)
- Proficiency in programming language (preferably R with C++ or Java)
- Knowledge in infectious disease, global health, vaccine, disease burden, cost-effectiveness analysis
- Language Proficiency
- Fluency in English