The University of Oxford provides a stimulating work environment, renowned globally as a centre of excellence. Our research addresses key global challenges, from combating climate change to developing life-saving vaccines.
We have an exciting opportunity available to join the Nuffield Department of Clinical Neurosciences as Programmer for the DREaMED project, based at the John Radcliffe. This is an opportunity to join a growing research team deploying machine learning solutions into health care.
About the Role
The post holder will join an exciting project – DREaMED (Defining, Recognising and Escalating Maternal Early Deterioration): Decreasing inequality through improved outcomes.
The post holder will work with clinical researchers and the OUH Senior DREaMED Programmer to develop software aimed at clinical use and clinical research. The post holder will join the Critical Care Research Group (CCRG), led by Professor Peter Watkinson. The CCRG undertakes a programme of research focussed on the early identification of patient deterioration and long-term outcomes of patients admitted to Intensive Care Units. The CCRG group specialises in analysing large routine datasets to develop predictive models in patients with critical illness. We aim to provide novel insights to improve clinical practice and guide the design of large-scale randomised controlled trials.
About You
We are seeking an experienced and enthusiastic programmer with a strong passion for wanting to improve health care outcomes.
Proficiency in at least one general purpose programming language (e.g., Python, JavaScript, Java) and a basic understanding of others.
Full stack development experience (working with both front-end and back-end technologies).
Excellent communication skills and the ability to engage with stakeholders across academic and administrative spheres are crucial.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
An excellent contributory pension scheme, Hybrid working, with 3 days a week for in-office collaboration, 38 days annual leave, A comprehensive range of childcare services, Family leave schemes, Cycle loan scheme, Discounted bus travel and Season Ticket travel loans, Membership to a variety of social and sports clubs etc.
Application Process
Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.
The post is full time for a fixed term until 31st March 2028 in the first instance.
Only applications received before 12.00 midday on Monday 31st March 2025 will be considered.
Interviews will be held on Wednesday 23rd April.