Head of Data Engineering and Informatics

University of Oxford
Oxford, United Kingdom
5 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 51K

Job location

Oxford, United Kingdom

Tech stack

Clinical Data Repository
Information Engineering
Data Systems
SPSS (Software)
SAS (Software)
Stata
Tableau
Information Technology
Data Management
Alteryx

Requirements

It is essential that 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.

Benefits & conditions

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.

About the company

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.

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