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Form of work
SalaryThis post is based within the Population Health Unit of Nottinghamshire Healthcare NHS Foundation Trust. The Population Health Unit is a specialist analytical unit set up within Nottinghamshire Healthcare NHS Foundation Trust with a remit to analyse a range of Trust and regional data using Public Health, epidemiological, statistical, and machine learning methods. The team advocates the use of open-source programming approaches to produce robust and reproducible reports. It also contributes to and supports the vital work of the Trusts main Applied Informatics team. Further to the duties outlined above, this position includes the following responsibilities: Communication: Liaise and negotiate with internal and external customers to meet information requirements in an efficient and cost-effective way Use statistical and modelling techniques appropriate to the audience to present information and concisely communicate findings Present, interpret and explain complicated statistical and analytical theories/models to large groups at meetings and presentations Turn data analyses into clear and compelling messages and present those analyses with visualisations to communicate complex messages to a varied audience Analytical skills and knowledge: Apply skills and ability to use data and information to make robust recommendations for service and system change Use of skills in development, maintenance, and collaboration on code-base projects using relevant programming languages and tools, such as Git Analysis of Public Health interventions, including utilising data and evidence from a range of diverse and different sources, some of which may be contentious Analyse and interpret data to make evidence-based recommendations to a range of stakeholders Analyse and interpret qualitative data and use evidence from qualitative studies, expert opinions, lived experience and national and local policies to support decision making Apply judgement when making recommendations to guide use of local resources to optimisation to improve outcomes Advanced skills with SQL and R/Python or other statistical programming environment Planning and organisation: Ability to work in an autonomous way, planning and organising tasks effectively for own work and occasionally others, including making short term adjustments to plans in response to changing workloads and priorities. Manage workload and competing demands effectively and to prioritise tasks and areas of work, including prioritising and handling urgent requests and assisting other members of the team. Take responsibility for own workload and tasks as agreed with the Senior Data Scientist. Self-motivated and ability to work effectively autonomously, providing progress reports, reprioritising competing demands and completing work within timelines agreed between stakeholders and the team. Research and continuous personal development: Keep up to date with best practices in the technical field in order to enable the department to improve the way in which it carries out analysis and uses intelligence. Communicate and share knowledge of best practices and ways of working throughout the department. Mentor other staff in technical areas to support development of skills.Where appropriate, identify gaps in the research evidence and make recommendations for prioritisation of local research and evaluation. Regularly undertaking R&D activities; researching new technologies and specialised technical areas, write papers and leading industry concepts and processes to support continuous improvement. Influence key decision makers on technical matters.
