Senior Postdoctoral Scientist: Real-Time Disease Forecasting

University-of-Oxford; Oxford; On-site; GBP 55,000 - 65,000; Full time

Job summary

The Pandemic Sciences Institute at the University of Oxford is seeking a Senior Postdoctoral Research Scientist to join the Risk Modelling and Outbreak Response workstreams in the Kraemer Group. You will develop real-time spatiotemporal models of infectious disease outbreaks in resource-limited settings and contribute to forecasting, scenario modelling and reproducible computational pipelines.

You will work with Python, R, Julia and accompanying tools to integrate diverse data streams, build

Qualifications

• PhD/DPhil in a quantitative discipline (epidemiology, computer science, mathematics, statistics, or computational biology).
• Post-qualification research experience in a relevant field.
• Experience developing and deploying ML, mathematical, and statistical models for forecasting.
• Experience analysing complex spatial and spatiotemporal data; building reproducible pipelines.
• Proficiency in Python, R, Julia or similar languages.

Responsibilities

• Develop, implement and validate spatiotemporal models for infectious disease forecasting and scenario modelling.
• Integrate large-scale datasets across epidemiological, environmental, demographic, genomic, and behavioural modalities.
• Evaluate probabilistic forecasts and contribute to generalisable modelling tools and reproducible pipelines.
• Develop user‑facing dashboards and visualisations.
• Lead co‑design workshops and training with international partners to strengthen local capacity.

Job description

The Pandemic Sciences Institute at the University of Oxford is seeking a Senior Postdoctoral Research Scientist to join the Risk Modelling and Outbreak Response workstreams in the Kraemer Group. You will develop real-time spatiotemporal models of infectious disease outbreaks in resource-limited settings and contribute to forecasting, scenario modelling and reproducible computational pipelines.

You will work with Python, R, Julia and accompanying tools to integrate diverse data streams, build