Senior Clinical Data Scientist
London
£90,000 - £130,000
Posted 2 days ago
About the role
This is an exciting opportunity to take a senior, hands‑on data science role within a new enterprise data science function.
As a Senior Clinical Data Scientist, the post-holder owns the full health data science lifecycle from problem to solution, delivering pilots that aim to produce measurable improvements in clinical and operational KPIs.
Take individual delivery ownership of data science pilots across the full lifecycle – problem definition, diagnosis, solution design, experimentation, implementation support, and outcome measurement – working autonomously and accountable for movement in target KPIs
Apply modern machine learning, statistical, causal inference, and experimental methods to clinical and operational problems, recognising that a model is one option among several, not the default
Act as a domain expert, using a clinical background to frame real‑world clinical and operational problems and to validate that outputs are clinically and operationally meaningful
Work with the data and software engineering team to productionise pilots and to monitor the impact and safety of deployed decision‑support tools
Take the analytical lead on highly complex and contentious healthcare data, devising methods, setting data‑quality and performance KPIs, and making evidence‑based recommendations to stakeholders
Engage and influence clinical, operational, and technical stakeholders, and support more junior analysts and data scientists through mentoring and capability‑building
AI Centre for Value‑Based Healthcare The AI, Data & Digital Innovation directorate is made up of data and technology experts - based in GSTT but working closely as a team with KCH and KCL. The team forms part of the Artificial Intelligence Centre for Value‑Based Healthcare – a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across data engineering, data science & AI development, and software engineering. Programmes include region‑wide infrastructure delivery of cloud and federated platforms, multi‑modal Real‑World Data engineering, foundation model development, and development of different Language AI solutions.
London / GSTT Snowflake Platform A secure data and research cloud platform that provides access to some of the broadest and deepest data in the NHS, including low latency patient‑level data flows from primary care, linked to Acute Trust data. The platform also supports data science and deployment of advanced analytics and machine learning solutions, including Language AI for unstructured data extraction.
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As a Senior Clinical Data Scientist, the post-holder owns the full health data science lifecycle from problem to solution, delivering pilots that aim to produce measurable improvements in clinical and operational KPIs.
Take individual delivery ownership of data science pilots across the full lifecycle – problem definition, diagnosis, solution design, experimentation, implementation support, and outcome measurement – working autonomously and accountable for movement in target KPIs
Apply modern machine learning, statistical, causal inference, and experimental methods to clinical and operational problems, recognising that a model is one option among several, not the default
Act as a domain expert, using a clinical background to frame real‑world clinical and operational problems and to validate that outputs are clinically and operationally meaningful
Work with the data and software engineering team to productionise pilots and to monitor the impact and safety of deployed decision‑support tools
Take the analytical lead on highly complex and contentious healthcare data, devising methods, setting data‑quality and performance KPIs, and making evidence‑based recommendations to stakeholders
Engage and influence clinical, operational, and technical stakeholders, and support more junior analysts and data scientists through mentoring and capability‑building
AI Centre for Value‑Based Healthcare The AI, Data & Digital Innovation directorate is made up of data and technology experts - based in GSTT but working closely as a team with KCH and KCL. The team forms part of the Artificial Intelligence Centre for Value‑Based Healthcare – a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across data engineering, data science & AI development, and software engineering. Programmes include region‑wide infrastructure delivery of cloud and federated platforms, multi‑modal Real‑World Data engineering, foundation model development, and development of different Language AI solutions.
London / GSTT Snowflake Platform A secure data and research cloud platform that provides access to some of the broadest and deepest data in the NHS, including low latency patient‑level data flows from primary care, linked to Acute Trust data. The platform also supports data science and deployment of advanced analytics and machine learning solutions, including Language AI for unstructured data extraction.
#J-18808-Ljbffr
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