Data Scientist | The Royal Wolverhampton NHS Trust
| Dyddiad hysbysebu: | 23 May 2024 |
|---|---|
| Cyflog: | Heb ei nodi |
| Gwybodaeth ychwanegol am y cyflog: | £28,407 - £34,581 per annum/pro rota |
| Oriau: | Part time |
| Dyddiad cau: | 22 June 2024 |
| Lleoliad: | Wolverhampton, WV10 0QP |
| Cwmni: | Royal Wolverhampton NHS Trust |
| Math o swydd: | Contract |
| Cyfeirnod swydd: | 6144763/225-CORP-6144763 |
Crynodeb
This is an opportunity to apply for a data science position within the Prevention and Population Health Unit based at the trust. The Unit works with other key partners in Wolverhampton including Wolverhampton City Council and the other members of the One Wolverhampton place-based partnership and aims to help health and social care services better identify the needs of the local population and shift the focus from treatment to prevention and early intervention.
We are looking for a capable and enthusiastic individual with a background in Data Science. You will be eager to develop your technical skills and gain further experience helping deliver insightful and impactful population health analysis.
Your responsibilities will mainly involve applying data science techniques to a wide range of health-related data sets in order to provide insights on the health of the population in the Wolverhampton place-based area.
We encourage interest from individuals with interest and experience in: R/R Studio, Python, MS Excel, SQL, PowerBI, machine learning, statistical analysis, and reporting on complex data.
The Royal Wolverhampton NHS Trust is one of the largest NHS trusts in the West Midlands providing primary, acute and community services and we are incredibly proud of the diversity of both our staff and the communities we serve. We are building a workforce that can help us to fulfil our values, improve the quality of care for patients, and solve the health care problems of tomorrow. We’re passionate about the value that diversity of thinking and lived experience brings in enabling us to become a learning organisation and leader in delivering compassionate care for our patients.
We are delighted that we have been rated as “Good” by CQC. We have achieved numerous awards; The Nursing Times Best Diversity and Inclusion Practice and Best UK Employer of the Year for Nursing Staff in 2020.
The Trust is a supportive working environment committed to creating flexible working arrangements that suit your needs and as such will consider all requests from applicants who wish to work flexibly.
To provide statistical insight and analysis of population health in Wolverhampton.
Be able to explain complex information to a wide range of audiences to support decision makers.
Proactively learn new data science methods and ideas to ensure that you can work across a range of projects, you will be fully supported to learn throughout your time in the team.
Implement new and changing policies within area of responsibility taking into account, Trust, Local and National Guidelines.
Analyse large amounts of information to discover trends and patterns.
Correlate analysis with information from a variety of external sources (including demographic data, social deprivation, census etc.).
Create automation processes for the management of key population health datasets on an ongoing basis.
To use robust statistical and analytical techniques and a range of software to interpret highly complex data gathered from a wide variety of sources.
Use complex queries written in SQL to interrogate data.
Present information using data visualisation techniques.
Required to plan and organise analysis workload including ongoing updating of an analysis workplan. Requiring adjustment due to fluctuating workload, prioritising unpredictable and conflicting demands.
Use statistical and mathematical modelling techniques such as logistic regression and simulation to inform analysis.
Contribute to research papers, research proposals and policies on an ongoing basis.
Perform within an environment where intense concentration is required throughout the day on a wide variety of complex issues.
Regularly conducts data quality audits to ensure the maintenance of quality outputs.
Frequent VDU use is required for this post for periods exceeding 4 hours at a time.
Keep up to date with prescribed mandatory training within the trust.
This advert closes on Wednesday 5 Jun 2024