We are seeking two postdocs to work on multiple projects within a NIH funded center of dengue research that has been running for over 20 years in Thailand and the Philippines. The project will assess immune dynamics of dengue immunity in several cohorts including vaccine trial participants and a cohort of households. This represents one of the longest running dengue studies in the world. The postdocs will work collaboratively with Dr. Isabel Rodriguez-Barraquer (UCSF), Dr. Henrik Salje (University of Cambridge) and Dr. Derek Cummings (University of Florida), who together run the analytical core for the research center. There will also be opportunities to work with other members of the wider research center. The project is funded by an NIH program project grant and centers around long-term follow-up of cohorts for dengue risk. The portfolio of work will include the development of mathematical and statistical models to analyze longitudinal measurements of immune responses to dengue, identification of correlates of protection from infection and disease and work to understand the contribution of individual and community level factors to infection risk.
Applicants will initially be given a one-year contract with possibility to extend to two or more years should both parties agree.
Salary: Depending on education and experience.
Given current travel restrictions, there is flexibility in physical location in the near term. Positions will be collaborative between UCSF, UF and University of Cambridge with eventual physical locations at UCSF (1 postdoc) and either Cambridge, UK or Gainesville, FL (1 postdoc).
Essential skills
• Research experience of working with mathematical and/or statistical models. • A strong interest in infectious disease epidemiology. • Ability to collate and analyze data, interpret and present results to a high standard using a range of specialized research techniques. • Good knowledge of R • Excellent verbal and written communication skills. • Experience in communicating research findings to a non-specialist audience. • Ability to work independently but also as part of a larger interdisciplinary research team. • PhD in one of the following areas: epidemiology, statistics, immunology, physics, computer science, population biology or a similarly quantitative discipline.
Interested candidates should email [email protected] with a CV and statement of interest.
Organization Details
