Job summary
This is a unique opportunity for Less-Than-Full-Time doctors with competencies in data science / engineering, to develop their technical skills within a high-profile national data programme, working as part of a skilled technical team to deliver real-world pipelines and products.
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.
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.
Main duties of the job
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.
About us
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.
Job description
Job responsibilities
Essential Criteria
- 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
Job description
Job responsibilities
Essential Criteria
- 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
Person Specification
Qualifications
Essential
- Medical degree with experience of clinical practice
Desirable
- Degree qualification in health informatics / health data science / health AI
Skills
Essential
- Proficiency with Python
- Proficiency with SQL
- Exceptional analytical, problem-solving, and judgement skills
- Understanding of reproducible code and CI/CD practices
- Advanced understanding and application of data science and statistical techniques to healthcare data
- Highly developed understanding of clinical care pathways and clinical pain-points. Able to communicate effectively with clinical teams.
- Proven track record and demonstrated ability of working collaboratively with a variety of organisational levels to deliver programme goals.
- Knowledge and understanding of risk management and mitigation strategies in technical projects
- Knowledge of clinical and administrative IT systems and processes, as well as of administrative roles and processes within healthcare
Desirable
- Skills in advanced data visualisation, presentation, frontend tools
- Proficiency using DBT +/- Snowflake +/- Azure
Experience
Essential
- Experience in technical roles in health data engineering and/or health data analytics
- Experience in data science and machine learning projects in the healthcare sector.
- Experience working in large complex organisations, including in a health data or health technology environment
Desirable
- Experience in Javascript
- Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings.
- Previous experience of working in, or collaborating with, commercial organisations, including in health-tech or life sciences.
- Previous experience or building or working with OMOP Common Data Mode
Person Specification
Qualifications
Essential
- Medical degree with experience of clinical practice
Desirable
- Degree qualification in health informatics / health data science / health AI
Skills
Essential
- Proficiency with Python
- Proficiency with SQL
- Exceptional analytical, problem-solving, and judgement skills
- Understanding of reproducible code and CI/CD practices
- Advanced understanding and application of data science and statistical techniques to healthcare data
- Highly developed understanding of clinical care pathways and clinical pain-points. Able to communicate effectively with clinical teams.
- Proven track record and demonstrated ability of working collaboratively with a variety of organisational levels to deliver programme goals.
- Knowledge and understanding of risk management and mitigation strategies in technical projects
- Knowledge of clinical and administrative IT systems and processes, as well as of administrative roles and processes within healthcare
Desirable
- Skills in advanced data visualisation, presentation, frontend tools
- Proficiency using DBT +/- Snowflake +/- Azure
Experience
Essential
- Experience in technical roles in health data engineering and/or health data analytics
- Experience in data science and machine learning projects in the healthcare sector.
- Experience working in large complex organisations, including in a health data or health technology environment
Desirable
- Experience in Javascript
- Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings.
- Previous experience of working in, or collaborating with, commercial organisations, including in health-tech or life sciences.
- Previous experience or building or working with OMOP Common Data Mode
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Additional information
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
