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Our Opportunities and Training

Current vacancies

Postdoctoral Research Assistant in Health Data Sciences (184138)

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.

Previous Vacancies

Post-Doctoral position - Health Data Scientist (Closed 15th May 2024)

Training and Teaching

Summer School: Real-World Evidence using the OMOP Common Data Model

This graduate summer school gives individuals the opportunity to gain familiarity with the tools and concepts necessary to plan and execute Real World Evidence studies

Previous Studentships

2024:

Towards equity in medicine with big health data, epidemiology, and artificial intelligence

Artificial Intelligence for climate-health mitigation and adaptation

Find out more about DPhil opportunities at NDORMS, including funding opportunities here.

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.

Apply now

Explore the PHI Lab

Join our team

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

Find out more and apply

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.

Read the article