Postdoctoral Infectious Disease Modeller

2 weken geleden

Amsterdam, Noord-Holland, Nederland Amsterdam UMC Voltijd
About the Project

The GRIFFINS Project is a collaborative initiative between GGD Amsterdam, Amsterdam UMC, 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.


About the Role
Key Responsibilities

  • 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.

Requirements

  • Doctoral degree in infectious disease modelling, biomathematics, biostatistics, computational biology, or any other relevant quantitative background.
  • Strong programming proficiency (Python, R and/or C/C++).
  • Experience in ODE/PDE, stochastic process and/or agent-based modelling.
  • Preferably with expertise in respiratory infectious disease and public health modelling.
  • Experience working with large-scale datasets, data integration, and data management.
  • Strong analytical and problem-solving skills, with an ability to translate complex data into actionable insights.
  • Excellent communication and teamwork abilities.

Preferred Skills

  • Experience with agent-based modeling in infectious disease epidemiology.
  • Background in public health or health data science.
  • Familiarity with pathogen surveillance and knowledge of Dutch public health systems and data management regulations (CBS experience is a plus).

About the Workplace

You will work in a dynamic and collaborative work environment with leading public health and academic institutions in Amsterdam, including the Laboratory of Applied Evolutionary Biology (LAEB) at Amsterdam UMC led by Professor Colin Russell.

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