The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, services, and education and training at the local, national and international level. About 850 people from more than 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions.
The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, is seeking a highly motivated individual with strong analytical skills to work within the Infectious Disease Modelling Unit of EPH to help design evidence-based strategic plans by providing analytical evidence and support execution of high-impact programs to ensure countries reduce their malaria burden.
Senior Disease Modeler (100%)
In this position you will lead the technical work of the modelling support provided to NMCPs in endemic countries as well as provide support to their partners including donors and NGOs.
Malaria is one of the world's most important causes of mortality and morbidity, mainly affecting countries in low endemic areas. Over the last decade, substantial progress has been made globally in reducing malaria burden through increased coverage with vector control interventions and improved access to diagnosis and treatment. However, the funding has recently plateaued pushing to the forefront of the policy agenda the need to optimize deployment of interventions, based on understanding of countries' local malaria transmission and burden. In recent years, the availability and quality of malaria-relevant data have increased, encouraging countries to use evidence to make decisions, as promoted by the High Burden to High Impact initiative launched by the World Health Organization (WHO). The Swiss Tropical and Public Health Institute develops and applies epidemiological, statistical and mathematical methods to evaluate and predict malaria transmission and the impact of interventions in order to provide support National Malaria Control Programs (NMCPs) and their partners in their evidence-based decision-making processes.