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Genetic causes of co-occuring conditions

Combining patient records and genetic profiles to analyse the occurrences of multimorbidity in long-term conditions and their potential causal pathways for patients over 65.

A Hazy image of a DNA strand made up of small particles.
Photo by ANIRUDH on Unsplash

This project page is under construction, please check back for more details of our project.

We're hiring!

Postdoctoral Research Assistant in Health Data Sciences

The Oxford PHI Lab is seeking a highly motivated data scientist to support our projects on curation and modelling of harmonised health datasets and co-creating publicly available decision-support dashboards and tools to enhance mapping, monitoring, and prediction of global health challenges including mitigating climate-exacerbated global health inequities. This includes a new project funded by the Gates Foundation on real-world data for women’s health.

Closes 16 February 2026.

Join our team

Our MSK AI DPhil in Artificial Intelligence for musculoskeletal global health is open for applications. 

Latest from PHI - NEW feature article and video

Work at the Planetary Health Informatics group applies artificial intelligence to international real-world health data, in order to further our understanding of disease and fill the gaps in global health. Sara Khalid explains how the work is tackling climate-related health crises such as Malaria.