Post-doctoral fellowships in infectious disease modeling at the Fogarty International Center, NIH
The Division of International Epidemiology and Population Studies (DIEPS) of the Fogarty International Center (FIC), NIH, is seeking a post-doctoral fellow to work with Dr Cécile Viboud on a variety of infectious disease modeling projects. The projects fall under the auspices of two global computational modeling programs to control emerging and re-emerging infectious disease threats. The RAPIDD (Research and Policy for Infectious Disease Dynamics) program has established a global network of infectious disease modelers working at the research-policy interface, and provides evidence-based recommendations for disease control during outbreaks. The MISMS program leads research and training activities on the epidemiology and evolutionary dynamics of influenza viruses in humans and animal reservoirs. DIEPS has a long history of running computational projects and field studies, developing data-rich models, managing international collaborations and training programs, and translating research findings to policy.
The post-doc position would be supported with core FIC funds, allowing for independent, self-initiated research within broadly-defined areas of established DIEPS interests, including the transmission dynamics of respiratory infections, the impact of new vaccines, and anti-microbial resistance. The candidate would also have the opportunity to collaborate with other DIEPS researchers studying infectious diseases, including Dr Martha Nelson‘s work on pathogen evolution at the human-animal interface. The candidate will also have the opportunity to be an instructor at international training workshops. Successful candidates will work in the historic Stone House on the NIH Bethesda campus (3 mi. from DC) and enjoy fruitful interactions with the dynamic community of NIH intramural scientists.
The successful candidate will have a doctoral degree (PhD or equivalent) in computational or evolutionary biology, applied statistics or physics, biostatistics, or related quantitative fields, with at least 1 year of research experience in computational modeling. Strong quantitative and communications skills as well as proficiency in analytical and dynamic modeling, and/or phylogenetic analysis is required. The ability to critically evaluate data, publish scientific papers, work in interdisciplinary environments, and present at conferences is essential.
Interested candidates should contact Cécile Viboud (email@example.com). Applications should include a cover letter, a CV, a brief statement of research interests, and the names (and contact info) of three references. Salary will be commensurate with experience and NIH guidelines.