Post-Doctoral Research Associate - Data Scientist (Population Health & Clin

at  Kings College London

Job id: 096886. Salary: £44,105 - £51,485 per annum, including London Weighting Allowance.
Posted: 14 October 2024. Closing date: 03 November 2024.
Business unit: Faculty of Life Sciences & Medicine. Department: Biomed Eng & Imaging Sci School Office.
Contact details: Joe Zhang. joe.zhang@gstt.nhs.uk
Location: St Thomas’ Campus. Category: Research.
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About us
London AI Centre
The London AI Centre for Value-Based Healthcare (London AI Centre) is 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. Our team is made up of data science, technology and digital transformation experts, operating as part of the wider King Health partner’s (KHP) group. 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.
Secure Data Environment (SDE) for London
The London SDE is a data, research, and analytics ecosystem that unites data across the London region. It includes:
A pan-London data service which handles extraction and linkage of primary and secondary care data for 10 million patients across the region
A secure research and analytics platform, that complies with national SDE guidelines, and enables access to pseudonymised and anonymised data for researchers and academic and commercial partners.
Capabilities for delivering population health and AI/data-driven clinical pathways, working with 5 ICBs, and hundreds of GP practices and hospitals across London.
The London AI Centre team is commissioned to deliver the next stage of the London Secure Data Environment (SDE) programme, working on integration of data science and AI technologies, for multi-modal data enrichment and advanced analytics capabilities for the NHS in London.
About the role
As a Data Scientist in Population Health & Clinical Pathways, you will be fulfilling a crucial role within the London SDE programme, translating cutting edge data infrastructure into insights, research, and predictive models. You will be responsible for building analytics pipelines across some of the most complete primary and secondary care data in the NHS, independently implementing data science projects (including predictive analytics using machine learning) that will inform population health and clinical decision-making, and measure real-world impacts on outcomes and health equity. You will work across NHS health data environments across London, including (but not limited to) Guy’s and St. Thomas’ Hospital, King’s College Hospital, and linked primary care data on a London-wide cloud data platform.
This is a full-time post for the duration of the programme, which ends on 31 March 2026.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• PhD qualified in relevant subject area (or pending results)*
• Proficiency in Python, SQL, and use of production databases
• Proficiency in good development practices, including use of Git, CI/CD, and testing
• Expertise of working with tabular Electronic Health Record (EHR) data
• Excellent knowledge of clinical vocabularies and ontologies, including SNOMED and ICD-10
• Experience of data visualization and dashboard creation using Python or Javascript
• Track record of publications at conferences and journals
• Track record of delivering research presentations.
• Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Desirable criteria

• Background as a clinician, or direct experience of working in a healthcare setting
• Experience working with unstructured data using Natural Language Processing (NLP) or language AI methods

Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “

Please refer the Job description for details