Head of Data Engineering and Informatics

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

We have a rare and exciting opportunity for a Head of Data Engineering and Informatics to join the Infectious Diseases Data Observatory (IDDO), at the Centre for Tropical Medicine and Global Health, University of Oxford. You will play a leading role in IDDO's ongoing development, working closely with IDDO's Directors and the wider leadership team to establish IDDO's data strategy, and ensure delivery against that vision.

The main responsibilities of this position will include planning and executing initiatives to drive the strategic vision of IDDO as part of the leadership team, working both strategically and operationally within the organisation to consolidate and enhance the data and technology landscape and anticipating and advising on future technology changes that present opportunities for IDDO and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their application to IDDO's model. You will be responsible for maintaining secure data upload and data sharing systems in line with data protection legislation and the University policies and regulations, and for understanding and responding to organisational and end-user requirements and translating these into effective data management and informatics solutions and services.

It is essential you hold a graduate qualification in a scientific, data or heath related field, with significant experience in data management for clinical research and in leading a data management team. You will be experienced in deciphering and managing large clinical data, and in leading complex projects in data systems and processes, and have experience with informatics and statistical aspects of data management. It is essential you are an experienced user of data curation tools (e.g. Tableau, Trifacta, Alteryx) and of statistical software packages (e.g. Stata, SPSS, SAS or R) for data summaries and exploration.

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 Wellcome Trust, Malaria Consortium, the European Commission, and Exxon Mobile.

Only applications received before 12 midday on 12 January 2026 will be considered. Please quote 181281 on all correspondence.

Standard Grade 9: £56,623 - £65,336 with a discretionary range to £71,218 p.a. (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).

It is essential you hold a graduate qualification in a scientific, data or heath related field, with significant experience in data management for clinical research and in leading a data management team. You will be experienced in deciphering and managing large clinical data, and in leading complex projects in data systems and processes, and have experience with informatics and statistical aspects of data management. It is essential you are an experienced user of data curation tools (e.g. Tableau, Trifacta, Alteryx) and of statistical software packages (e.g. Stata, SPSS, SAS or R) for data summaries and exploration.

We have a rare and exciting opportunity for a Head of Data Engineering and Informatics to join the Infectious Diseases Data Observatory (IDDO), at the Centre for Tropical Medicine and Global Health, University of Oxford. You will play a leading role in IDDO's ongoing development, working closely with IDDO's Directors and the wider leadership team to establish IDDO's data strategy, and ensure delivery against that vision. The main responsibilities of this position will include planning and executing initiatives to drive the strategic vision of IDDO as part of the leadership team, working both strategically and operationally within the organisation to consolidate and enhance the data and technology landscape and anticipating and advising on future technology changes that present opportunities for IDDO and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their application to IDDO's model. You will be responsible for maintaining secure data upload and data sharing systems in line with data protection legislation and the University policies and regulations, and for understanding and responding to organisational and end-user requirements and translating these into effective data management and informatics solutions and services.