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Lead Clinical Data Analytics Engineer | Guy's and St Thomas' NHS Foundation Trust
| Dyddiad hysbysebu: | 26 Ebrill 2024 |
|---|---|
| Cyflog: | Heb ei nodi |
| Gwybodaeth ychwanegol am y cyflog: | £66,718 - £76,271 per annum inc HCA |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 26 Mai 2024 |
| Lleoliad: | London, SE1 7NJ |
| Cwmni: | Guys and St Thomas NHS Foundation Trust |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 6261264/196-COF10194-S |
Crynodeb
The Lead Clinical Data Analytics Engineer is a crucial role within the London SDE programme. You will be responsible for leading the development of data and analytics pipelines across some of the most complete primary and secondary care data in the NHS, including using technologies such as language AI for curating unstructured data. You will be responsible for independently implementing analytics (including predictive analytics using machine learning) that will inform population health and clinical decision-making, as well as extending data pipelines to measure real-world impacts on outcomes and health equity.
As a senior technical lead, you will report to the Head of Data Science for the programme, and you will co-design the technical roadmap and deliverables. Our mode of working is focused on product design and delivery (rather than providing an on-demand/ticketed service to stakeholders). You will be responsible for supervising, coordinating, and upskilling more junior technical staff across multiple NHS organisations, including Integrated Care Boards. You will help to produce compelling reports, visualisations, and academic publications, that will have national and international reach.
The candidate should either have a background as a clinician or health informatician, or substantial experience of analysing and interpreting structured healthcare data, to enable the delivery of impactful analytics with understanding of healthcare pathway implications.
The Lead Clinical Data Analytics Engineer is a senior technical role that will:
• Design and lead on technical objectives for the SDE programme.
• Lead development of ELT/ETL and cohort creation pipelines for primary and secondary care data across London.
• Work with a dedicated London AI Centre team to deploy language AI technologies for extracting and standardising unstructured clinical records.
• Provide expert technical support to the London Data Service for the standardisation of London data into the OMOP common data model.
• Lead collaborations with NHS teams from Integrated Care Boards and Hospital Trusts to produce pan-London data analytics and visualisations.
• Co-ordinate, support, and upskill local analysts in cross-London collaborations to ensure alignment on projects and timelines.
• Lead collaborations with NHS teams to develop and deploy machine learning models, in areas such as risk stratification, case-finding, anticipatory care, decision support, and forecasting.
• Build responsible technical solutions for creation of decision intelligence from both descriptive and predictive analytics, including systems for monitoring, and for impact evaluation.
• Produce striking and visual reports that will influence regional healthcare policy and guide population health programmes.
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The AI, Data & Digital Innovation team is made up of data science, technology and digital transformation experts, operating as part of the wider King Health partner’s (KHP) group – based in GSTT but working closely as a team with KCH and KCL.
The team regularly contributes to externally funded programmes – including development and implementation of data platforms and AI technologies, aiming to achieve better outcomes for patients’ diagnosis and treatment, improve clinical and operational workflows, and drive innovative healthcare research. This includes the London Artificial Intelligence Centre for Value-Based Healthcare (London AI Centre): a consortium of NHS, academic and industry partners led by Guy’s & St Thomas’, King’s College London and KCH, in partnership with 10 NHS Trusts and 4 universities.
The Lead Clinical Data Analytics Engineer will be responsible for:
• Owning the building of SQL/Python pipelines (primarily in Snowflake and DBT) to extract data from different databases and raw sources, ending in generation of cohorts for analysis and machine learning.
• Designing and leading programmes related to standardisation of unstructured and structured data within the London SDE programme.
• Designing and leading observational analytics projects for regional and cross-London priorities.
• Designing and leading predictive analytics projects, that include robust training, validation, and testing of machine learning models for performance and fairness.
• Ensuring technical outputs of such projects meet deliverables of the SDE programme.
• Leading engagement with technical teams in NHS Integrated Care Boards and NHS Hospital Trusts, to build consensus on analytics and drive collaboration.
• Chairing meetings and technical workshops to update work packages across a complex multi-stakeholder and multi-institution environment across London.
• Supporting, supervising, and upskilling more junior team members, either within the SDE programme, or within other NHS analytics teams, through oversight of per-project technical work and outputs.
• Owning the design and development of data outputs, visualisations (both dashboards and static), and reports, that can consolidate complex work and analysis into compelling stories.
• Maintaining a central repository of reproducible code and machine learning models, based on a common data model shared across London regions.
• Leading and/or contributing to academic publications and talks.
This advert closes on Monday 6 May 2024