Senior Postdoctoral Research Scientist - Climate Sensitive Infectious Diseases

Life and Mind Building, South Parks Road, Oxford OX1 3EL

We are seeking a Senior Postdoctoral Research Scientist to join the Kraemer Group in the Data Analytics and Epidemiology (DAE) group at the Pandemic Sciences Institute (PSI), University of Oxford. Working with Professor Moritz Kraemer and Dr Cathal Mills, you will help lead the development of a global, real-time, probabilistic forecasting observatory for climate-sensitive infectious diseases, including dengue, cholera, and malaria.

You will develop, implement, and validate spatiotemporal mathematical, statistical, and machine learning models for disease risk mapping, forecasting, and scenario modelling. You will integrate large-scale datasets across epidemiological, environmental, climatic, demographic, genomic, and behavioural modalities, evaluate probabilistic forecasts, maintain a public-facing forecasting dashboard, and work with international public health partners globally to support local model adoption through co-design workshops and training.

You will hold a PhD/DPhil with post-qualification research experience in a relevant quantitative discipline (such as epidemiology, computer science, mathematics, statistics, or computational biology). You will have demonstrable experience modelling climate-sensitive infectious diseases, developing and deploying forecasting and scenario models, and building reproducible analytical workflows in Python, R, Julia, and/or other relevant programming languages. Strong analytical, communication, organisational, and collaborative skills are essential.

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.

This post is full-time on a fixed-term contract until 31st January 2028, funded by the Medical Research Foundation (MRF), and available immediately.

The Final date to receive applications is 12:00 noon on Monday 23 November 2026.