Collaborative Newcastle is an innovative new partnership which aims to improve the health, wealth and well-being of the people of Newcastle. The city’s largest organisations – including the hospitals, council, GPs, care homes, voluntary sector and mental health trust - have come together with an aim to reduce inequality and provide better opportunities for all. Bringing together knowledge, expertise and resources from across the partnership. By combining efforts, the Collaborative Newcastle partners aim to solve bigger problems, make a greater difference and help more people to live happy, healthy and fulfilling lives here in Newcastle. See attached for website address.
Duplication to Personalisation is Collaborative Newcastle’s exciting new project, bringing the best of the shared trust built between partners and leveraging innovative analytics to support front line teams from across health and care to come together in personalising care with local people, and to reduce inequalities across the city.
The project focuses on bringing together data that already exists in our different organisations using data science techniques such as automation and artificial intelligence to analyse it in new ways. A dedicated team will analyse and present the data in ways that will empower a panel of front line health and care teams to do things differently. This new approach will help us to identify people with health and care needs or challenges that aren’t being met effectively, so that we can be more proactive and help people much sooner.
The data will give us the opportunity to improve people’s health and wellbeing, which may be outside of ‘traditional’ health services but which the Collaborative Newcastle partners can collectively deliver. For example, helping someone to join a community group, get a job or have their roof fixed. It is expected that long-term this data and insight-led approach will give us greater confidence to pool our resources and spend our money differently.
We are looking for a project team to take forward this exciting new initiative. All posts will be hosted by The Newcastle upon Tyne NHS Foundation Trust.
An exciting opportunity has arisen for a dynamic, enthusiastic and highly organised individual to join the Duplication to Personalisation team as a Data Scientist. This is a fixed term contract until June 2023.
The Data Scientist will have responsibility for analysing questions within the Duplication to Personalisation project, some of which are pre-determined and others which the post holder will formulate as the project evolves and by using their extensive health and social care knowledge. They will provide expert advice and guidance on statistical/epidemiological/information matters including the development of health related data sets and information. The post holder will build and implement algorithms and to merge, manage, interrogate and extract data to supply tailored reports to colleagues. An expert in their field, they will suggest, develop and use machine learning tools and statistical techniques to produce analytical solutions to problems and support strategic and operational decision making in order to create impact. Clear and coherent communication skills, both verbal and written, are essential to understand data needs and report results.
The successful candidate will have a Masters in a relevant subject or equivalent experience working in a Data Science/statistics/informatics/analytics role. They will have gained additional specialist knowledge through formal training and/or experience with evidence of continued professional development and have significant experience and proven track record in preparing, analysing, interpreting and presenting data in an analytical role. Proficient in a range of statistical packages they will have experience of manipulating real life data and demonstrate an appreciation of the challenges involved. With project management experience, they will have experience of working with data visualisation tools and on exploratory data analysis projects.
Full Time 37 Hours 30 Minutes/Week
Interview Date: - Friday, 17 September 2021