Data Scientist and Postdoc

Peter Medawar Building of Pathogen Research, OX1 3SY

Global.health is an international, open-source technology platform enabling rapid access to timely high-resolution information on infectious diseases and other 21st century threats. The platform has members of academic institutions (Harvard, Stellenbosch University, Georgetown University), industry partners (Google.org, Mapbox), and non-governmental institutions (Pandemic Prevention Institute, Rockefeller Foundation).

The platform’s technology is fully open-source, distributed and focused on integrating the most cutting edge hardware with rigorous data pipelines. Global.health is completely cloud-hosted, combining a microservices architecture implemented with Typescript, node.js and Kubernetes; ingestion and data quality pipelines using a Python serverless approach; and a browser-based UI built using React and Typescript. The platform’s functions are to enable the synthesis, automation, and federated analytics of highly complex individual level data during epidemics. Our team is committed to training the next generation public health engineers around the world.

This role is to increase the capabilities of Global.health with partner organisations and facilitate integration with downstream analytical pipelines to respond to emerging infectious diseases globally.

Applications are particularly welcome from women and black and minority ethnic candidates who are under-represented in academic posts in Oxford.

Global.health are recruiting for two Data Scientist positions but with slightly varying roles and responsibilities, which can be found in the attached job descriptions. Should you have a preference for a particular roles, please express this in your supporting statement.
This post is full time and is available immediately.

The closing date for applications is 12.00 noon on 16 May 2022. Interviews will be schedule soon after the closing date.