Senior Clinical Data Scientist / Analytics Engineer (London SDE)

The post-holder will participate in clinically applied data, Machine Learning (ML) and ML Operations (MLOps) implementation, and analytics engineering activities, focused on delivery of pipelines and products to improve health outcomes for the population of London, and to improve the utility and availability of Real-World Data across the region to support life sciences work. Some activities may result in research and academic publications, though this is not a primary objective., There are two types of role available, that align to different technical competencies:
· Senior Clinical Data Scientist - Working across population health centres in London, in Azure/Snowflake environments, to build reproducible and end-to-end pipelines for population health data science and machine learning, including implementation of industry standard MLOps (Machine Learning Operations) practices. The post-holder will also be expected to offer clinical support to the design of pathways and monitoring of impacts from any ML intervention. This post may benefit those with an interest in population health and responsible ML deployment.
· Senior Clinical Analytics Engineer - Working within Hospital Trusts to extract, load, and standardise data to common data model and OMOP specfiications, including working with data through CogStack and language AI, with a focus on surfacing quality metrics and cohort insights. Post-holders will be encouraged to build applications and products to support analytics and research use-cases. These may include dashboards and analytics products for cohort discovery and trial recruitment/feasibility within hospitals, that can be scaled across the London region. This post may benefit those with an interest in Real-World Data and life sciences.

Working for our organisation
AI, Data & Digital Innovation function
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. 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.
Secure Data Environment (SDE) for London
The London SDE is a data, research, and analytics ecosystem that unites data across the London region. 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.

Within this role, you will co-design project deliverables. Our mode of working is focused on product design and delivery (rather than providing an on-demand/ticketed service to stakeholders). Post-holders must possess initiative and must be comfortable working on multiple projects and tight delivery timelines.
You will be supported by an excellent team which contains scientists, engineers, and other clinicians, and you will be supported by a personal development plan to improve technical competencies.
The candidate must have completed at least one year of practice by the time of role start., Practicing doctor with previous technical experience
- Proficient in SQL and Python, for data engineering and for descriptive/predictive analytics using tabular electronic health record data and machine learning algorithms
- Ability to understand and generate basic statistical analyses
- Experience of visualisation using Python packages and/or web development frameworks
- Experience with reproducible analytic pipelines, including tools such as git
- Expertise in NHS data models (e.g. SUS, HES, EMIS/TPP primary care data) and NHS data standards (e.g. SNOMED-CT, ICD-10)
- Ability to effectively break down complex analyses for non-technical stakeholders
- A strong desire to create real-world positive impacts for patients and the NHS, across themes such as healthcare inequalities, long-term conditions, and cancer care.
- Excellent spoken and written communicator
Desirable Criteria
- Experience in Javascript for frontend development is highly desirable
- Experience working in Azure and/or Snowflake and DBT
- Experience working with Elastic databases
- Experience working with natural language processing pipelines, including for entity extraction from unstructured medical records.
- Experience working with Real-World Data or EHR databases
- Experience building OMOP common data model pipelines
- Experience conducting data science research, and writing/publishing academic research papers