Senior Postdoc: AI for Outbreak Forecasting & Response

University of Oxford; Oxford; On-site; GBP 49,000 - 65,000; Full time

Job summary

University of Oxford is seeking a Senior Postdoctoral Research Scientist in AI for Outbreak Response to join the Data Analytics and Epidemiology group at the Pandemic Sciences Institute.

You will develop ML models for disease forecasting and scenario exploration, with data from epidemiological, genomic, and behavioural sources, and translate outputs into actionable insights for public health decision-making.

Qualifications

• PhD/DPhil in a quantitative discipline (epidemiology, statistics, computational biology) with post-qualification research experience.
• Strong proficiency in Python, R, or similar; experience building ML models for forecasting and uncertainty.
• Experience with reproducible computational pipelines and software development.
• Experience communicating complex results to non-technical audiences; knowledge of dashboards/visualisations is advantageous.

Responsibilities

• Develop and validate machine learning models for disease forecasting and simulation.
• Build and evaluate scenario exploration tools across multi-modal data.
• Develop decision-support tools and integrate them into public health workflows.
• Collaborate with public health partners in Africa to tailor models to local contexts and provide training.

Skills

Python

R

Machine learning

Epidemiology

Statistics

Computational biology

Reinforcement learning

Phylodynamics

Data visualization

Education

PhD/DPhil in a quantitative field (epidemiology, statistics, computational biology)

Tools

Git

Docker

Job description

University of Oxford is seeking a Senior Postdoctoral Research Scientist in AI for Outbreak Response to join the Data Analytics and Epidemiology group at the Pandemic Sciences Institute.

You will develop ML models for disease forecasting and scenario exploration, with data from epidemiological, genomic, and behavioural sources, and translate outputs into actionable insights for public health decision-making.