NJS144933 Lead Health Data Scientist Aberdeen, Scotland
Job description
NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.
NHS Grampian is an intelligence-led organisation known for drawing on high quality analytics to inform public health, planning, performance and improvement. We are looking for experienced, enthusiastic and forward-thinking individuals to join our team.
We are looking for applicants with highly developed skills in: research methods; information extraction and manipulation of large datasets; data linkage; application of relevant statistical approaches to complex problems; epidemiology; identification of data patterns; predictive modelling; information interpretation and data visualisation skills. The post offers the opportunity to work with a broad range of stakeholders such as Public Health consultants, acute sector colleagues and local authorities, along with other health boards and national health and research bodies.
The team has built an outstandingly positive reputation and we are much in demand, so the ability to deal with pressure is important. In return we can offer flexible and hybrid working arrangements and opportunities for development and progression.
The key defining aspect of this post is to lead on population health data science and research, strengthening our partnership with Aberdeen Centre for Health Data Science and the Aberdeen Health Determinants Research Centre. The post holder will lead our Health Foundation Networked Data Lab (NDL) as the Lead Analyst, managing the work of the NDL team in the University of Aberdeen and NHSG. They will also support the National Institute for Health Research (NIHR) funded Aberdeen Health Determinants Research Centre.
This post will lead the framing of population health questions that can be addressed with data science methods, the design and analysis, and the development of systems, tools and outputs to support action. The focus of the work will be at the intersection between health, social care and community; with strategic priorities around children’s mental health and wellbeing, the integration of care across the whole system and wider determinants of health. Describing and understanding health inequalities is a fundamental theme across the work programme.
Enquiries to: Jillian Evans, Head of Health Intelligence [email protected]
