Data Scientist

Location: Old Road Campus, Headington, Oxford, OX3 7LF

We are seeking to appoint a Data Scientist to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. You will design, build and improve tools and methodologies for data collection and processing in collaboration with members of the ISARIC (International Severe Acute Respiratory and emerging Infection Consortium) team and international partners.

The International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) was created in 2011 to change the paradigm of outbreak response by integrating patient-centred research as a core component of public health response. It is grassroots, investigator-led federation of independent, hospital based clinical research networks with operations in 130 countries. ISARIC undertakes research to characterise and find new treatments for emerging infections. By improving research methods, strengthening capacity internationally, and focusing on collaboration, ISARIC enhances the collective ability to generate evidence that improves patient outcomes and reduces the impact of infectious diseases on global health.

This is an opportunity to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. As the Data Scientist, you will have a key role in applying statistical methods and machine learning techniques to generate robust, actionable evidence from complex health datasets and designing, developing, and maintaining scalable reusable tools that enable efficient data analysis, interpretation, and evidence generation across different research settings, as well as supporting their use across international research institutions. The role includes designing, adjusting, and using complex data pipelines, as well as validating, documenting, and sharing them. You will identify issues with the tools' data, functionality, and documentation and make improvements where necessary.

Leading the analysis of clinical and epidemiological data to generate new evidence is a key part of the role. You will be a part of an international team who improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine-readable data.

The post will suit someone with advanced data management, software engineering and analytical skills, who has excellent interpersonal skills.

You will lead the analysis of clinical and epidemiological data to generate new evidence is a key part of the role. You will be a part of an international team who improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine-readable data.

It is essential that you hold a Masters level degree in statistics, computing or another numerate/related subject. You must have significant experience in data analysis and proficiency in writing Python code for data import and manipulation.

Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.

This position is offered full time on a fixed term contract for 24 months and is funded by the Gates Foundation.

Only applications received before 12 midday on 15 June 2026 will be considered. Please quote 186555 on all correspondence.