The GRIFFINS Project is a joint initiative of GGD Amsterdam, Amsterdam UMC, department of Medical Microbiology and Infection Prevention, and the Amsterdam Health & Technology Institute (AHTI). This 1-year project aims to develop a dynamic, responsive surveillance framework by integrating high-resolution demographic data, clinical and diagnostic information from hospitals, pathogen genomic data, and epidemiological data. Using these data sources, the project will adapt and refine a predictive agent-based model to simulate the spread and burden of infectious diseases, identify transmission hotspots, and inform public health interventions. The GRIFFINS framework addresses the need for a cohesive, real-time, data-driven approach to epidemic preparedness and response.
As a Postdoctoral Infectious Disease Modeler, you will play a key role in adapting and validating an agent-based model to better understand and predict infectious disease dynamics. You will have the opportunity to work at the intersection of epidemiology, clinical medicine, and data science, leveraging one of the most comprehensive health and demographic data sources in the Netherlands.
You will:
- Develop, validate, and refine an agent-based model of infectious disease spread using retrospective and up-to-date clinical, demographic, and genomic data;
- Collaborate with a multidisciplinary team of epidemiologists, data scientists, and healthcare professionals to integrate complex datasets;
- Use the model to identify transmission hotspots, predict high-risk populations, estimate disease burden, and simulate various outbreak scenarios;
- Design and implement protocols for linking hospital-based Electronic Patient Records (EPIC) and Laboratory Information Systems (LIMS) data to high-resolution demographic data from Statistics Netherlands (CBS);
- Develop and iterate workflows for the continuous integration of new data sources to ensure real-time model updates;
- Communicate findings to public health stakeholders and support strategic decision-making for infectious disease control.