Data Scientist in Public Health Epidemiology

Location: Oxford

*** Mention DataYoshi when applying ***

The Nuffield Department of Population Health is looking for a Data Scientist in Public Health Epidemiology to join Associate Professor Daniel Wilson’s group to help pilot a project developing systems for continuous record linkage between a large Public Health England (PHE) data source and other population health records. This project aims to facilitate research into infectious diseases.
The Big Data Institute (BDI) is an interdisciplinary research centre that develops, evaluates and deploys efficient methods for acquiring and analysing biomedical data at scale and for exploiting the opportunities arising from such studies. The Nuffield Department of Population Health (NDPH), a key partner in the BDI, contains world-renowned population health research groups and is an excellent environment for multi-disciplinary teaching and research.
As a Data Scientist in Public Health Epidemiology, you will manage and develop record linkage algorithms comparing records with relational databases containing health records via appropriate anonymization protocols, and manage and develop systems for identifying incoming records of interest, for near-real time updating of SQL databases, and for issuing email and SMS alerts in response to these events. Your responsibilities will also include contributing to large-scale statistical studies using public health records to investigate disease epidemiology, and analysing and interpreting results, reviewing and refining working hypotheses, writing reports and presenting findings to colleagues.
To be considered, you will hold a degree in Computer Science, Data Science, Statistics, or another relevant subject with a strong quantitative component, or have equivalent experience. You will also have an understanding of relational database construction and SQL queries, experience coding in at least one common programming language (e.g. C#, Java, Python) and good interpersonal skills with the ability to work closely with others as part of a team, while taking personal responsibility for assigned tasks.
Informal enquiries should be addressed to Associate Professor Daniel Wilson (
The position is full time (part time considered) and fixed term for 1 year.
The closing date for applications is noon on 5th May 2021.

*** Mention DataYoshi when applying ***

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