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We believe that the best care to our patients and community is provided by a professional and motivated team, so we invest heavily in training and education. There will also be lots of opportunities to support your development and improve your skills.
At Doncaster & Bassetlaw Teaching Hospitals NHS Foundation Trust you’ll be rewarded by a team that’s proud to support its staff in all aspects of their lives. If you are up to the challenge, submit an application to become part of team DBTH.
It is our goal to give those who join Team DBTH the tools and opportunities in order to grow their career, so whether you spend just one year or fifty with us, it’s our pledge to help you Develop, Belong and Thrive, Here.
The role
An exciting opportunity has become available for an enthusiastic individual to join DBTH in its Electronic Patient Record (EPR) journey with support from the Digital Aspirant Plus NHSx programme DBTH are now in moving at pace to procure and implement an EPR.
The graduate will be expected to support the EPR programme with a particular focus on:
- Data migration
- Data analysis
- Reporting and predictive analysis out of EPR
The EPR will deliver significant and substantial changes to clinical and administrative workflows supported by digital technology, and you will support the information work package which will include:
- Support scoping of BI requirements
- Documenting data sources
- Support research and development work relating to the implementation of the EPR.
There will be a range of opportunities to improve your skills within the Trust as the role will involve close working relationships with clinical and admirative teams, project teams, technical teams, and Digital Practitioner team.
The location
Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust (DBTH) is one of Yorkshire’s leading acute trusts, serving a population of more than 420,000 across South Yorkshire, North Nottinghamshire and the surrounding areas.
Hosting three main hospital sites and a number of additional services, the Trust is one of only five Teaching Hospitals in Yorkshire and trains 25% of all medical students in the region in addition to 30% of all other healthcare professional students. Employing over 6,500 people, every member of staff contributes to patient care, and has a personal stake in our future successes and achievements.
The candidate
The successful candidate will be working required to undertake the Level 7 Artificial Intelligence Data Specialist Apprenticeship and work towards the attached job description as a Trainee Assistant Data Scientist within the fixed term contract. During this time, you will gain significant experience in an acute NHS Trust implementing an EPR.
The main duties will include
- Communicate results and conclusions from highly complex analysis and present detailed investigations clearly and concisely to a wide range of internal and external staff, guiding them on an appropriate course of action.
- Provide expert analytical advice and business intelligence to support the Trust with their strategic business planning and business case submissions
- Deploy reports and dashboards to assist with ongoing project work within the department.
- Analysing and suggesting ways to improve the work of the department with respect to analysis, reporting, or production of analytic work
- Helping team members and the wider Trust to develop skills and understanding in the development, deployment, use, and interpretation of interactive dashboards produced with relevant software (i.e. through R, Python)
- Present analysis, by using appropriate presentational software and tailored to different professional groups, at senior directorate meetings, which may prove controversial by conflicting with clinical opinion.
- Liaise with managers and clinical staff to assess their current and future information requirements and propose options for tools and techniques that will fulfil their needs whilst adhering to Trust policies, objectives and priorities
- Provide training to non-analytical staff on a range of complex statistical and analytical techniques
- Identify opportunities to support and improve corporate processes
- Develop mechanisms for providing early warning to the Trust of potential performance issues and work with Divisions and Directorates to improve performance to ensure key targets are met.
- To act as the Information Specialist in terms of data modelling, predictive modelling and advanced analytical techniques utilising the appropriate software packages.
- To support information users to correctly interpret information.
Full details of main duties and responsibilities can be found within the attached job description and person specification.
Skills and experience
Level 7 MSc Artificial Intelligence Data Specialist Apprenticeship Eligibility
- an honours degree (2:2 or above) in an appropriate discipline, or with the appropriate aptitude for a role in technology.
- OR work experience will be taken into consideration, around 4+ years’ experience in a similar discipline.
Please see the links below for additional information on the Digital Aspirant plus programme:
https://transform.england.nhs.uk/key-tools-and-info/digital-aspirants/
The NHS Graduates into Health Digital, Data, Technology Scheme (DDaT) is a highly focused development pathway for graduates to become the next NHS digital, data and technology middle managers and beyond. Alongside their new role, graduates will complete an apprenticeship relevant to the role they are undertaking and integral Continual Professional Development (CPD) training. During the scheme, graduates will attend progress reviews as well as having the opportunity to work with a mentor.
If you are interested in the opportunity then click the apply button, follow the prompts and upload you CV and a Cover Letter of no more than 1000 words, detailing what skills and experience you can bring to the role.
