Data and Systems Analyst

Oxford University Hospitals (OUH)NHSFoundation Trustis working with theBig Data Institute within theUniversity of Oxfordto develop asecureplatformforlarge-scaleresearch and development.This platformwill linkdetailed information frompartnerNHS organisations, from national datasets, and fromresearch projects and make it available for analysis by trustedusers within a secure cloud environment.There is a particular emphasis onhigh-valueclinical and translational research, includingthe development and evaluation ofAI innovationsin healthcare delivery.

TheDataand System Analystwillcontribute to the developmentand operationof this platform,the Thames Valley and Surrey (TVS) Secure Data Environment (SDE),as akey componentof thefutureUK healthresearch ecosystem. They willbuildand communicate a deep understanding of datadesign,datasemantics, anddata usage inhealthcare andhealth research.They willworkas part of a team of engineers, scientists, managers, and governance specialists, using state-of-the-art tools and technologies. Their workwilllead toadvances in our understanding of diseaseandtoimprovementsin healthcareservices.

Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. For more information on OUH please view OUH At a Glance by OUHospitals - Issuu

Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.

We call this Delivering Compassionate Excellence and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence.

These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel.

Qualifications

Essential: - A good, masters'-level qualification or a good undergraduate degree followed by relevant experience

Desirable: - A masters'-level qualification with a strong data science or data engineering component

Experience