Job summary
Big Data Analytics, Developing and Mainstreaming Artificial Intelligence in Healthcare
The COGSTACK system was developed at KCH as part of the requirements for identifying eligible patients for the 100,000 Genomes Project.
The platform has been operating for over five years and has allowed us to search for patients meeting specific phenotypes using modern 'Google' style tools and to infer coded information (SnomedCT/UMLS) from unstructured documents using state of the art Natural Language Processing (NLP) tools.
As part of the Genomics AI Network (GAIN), we are recruiting a AI/NLP developer to take leadership in the development of the next generation of applications that make use of the CogStack data platform. Leveraging the capabilities of NLP within CogStack and integration with genetic data create unique opportunities in the diagnosis of rare inheritable disease.
You will be joining a small team of world class bio-/health-informaticians, data scientists, and AI/NLP developers working at the forefront of developing artificial intelligence systems for healthcare applications.
Translating current research into proof of concept applications under the existing governance arrangements will be a major part of the role. This will involve developing and evaluating new tools to help researchers and clinicians extract added value from the health record. These tools will include NLP and other AI aspects such as development of predictive algorithms using Machine Learning techniques.
Main duties of the job
Chronic Lymphocytic Leukaemia is a malignancy characterised by the accumulation of tumour cells in the blood, bone marrow, lymph nodes and secondary lymphoid tissues. The hallmark of the disease and major cause of morbidity and mortality is the increased range of infections that is associated with progressively deteriorating immune function.
The proposal is to develop a registry, designed specifically for CLL patients, that can be used to evaluate the infection risk faced by these patients as they progress through the different stages of the disease. This registry will also serve as a valuable resource for auditing, service evaluation, patient safety, and also help identify patients for clinical trials and research.
This role, will be responsible for supporting and further developing the clinical analytics platform, the main data backend infrastructure, to enable. Further responsibilities include contributions to quality management, ensuring compliance with with national standards and regulations and helping shape data governance processes for the use of automatically extracted phenotypes in the clinic and for research.
This is an opportunity to develop the next generation of machine learning analytical tools that utilize a vast and unique genomic and clinical data collection to make personalized medicine a reality. A successful proof-of-concept will open further opportunities in the mainstreaming of AI applications and further develop its prospective role in the clinic.
About us
King's College Hospital NHS Foundation Trust is one of the UK's largest and busiest teaching Trusts with a turnover of c£1 billion, 1.5 million patient contacts a year and more than 15,000 staff based across South East London. The Trust provides a full range of local and specialist services across its five sites. The trust-wide strategy of Strong Roots, Global Reachis our Vision to be BOLD, Brilliant people, Outstanding care, Leaders in Research, Innovation and Education, Diversity, Equality and Inclusion at the heart of everything we do. By being person-centred, digitally-enabled, and focused on sustainability, we aim to take Team King's to another level.
We are at a pivotal point in our history and we require individuals who are ready to join a highly professional team and make a real, lasting difference to our patients and our people.
King's is committed to delivering Sustainable Healthcare for All via our Green Plan. In line with national Greener NHS ambitions, we have set net zero carbon targets of 2040 for our NHS Carbon Footprint and 2045 for our NHS Carbon Footprint Plus. Everyone's contribution is required in order to meet the goals set out in our Green Plan and we encourage all staff to work responsibly, minimising their contributions to the Trust's carbon emissions, waste and pollution wherever possible.
Job description
Job responsibilities
Please find attached the job description and person specification for this role which provides details of the main responsibilities.
Job description
Job responsibilities
Please find attached the job description and person specification for this role which provides details of the main responsibilities.
Person Specification
Education and Qualification
Essential
- Educated to a BSc degree level with relevant domain knowledge, skills and experience in the informatics field
- MSc in Computer Science, mathematics, statistics, physics, computational biology, artificial intelligence, data science or other quantitative field is preferred
- Post-Graduate experience in advanced data analysis/machine learning related to healthcare
Desirable
- Completed or just completed Scientific Training Programme (or equivalent) in Bioinformatics/Informatics and registered/registration submitted for the Health and Care Professions Council
Knowledge and Experience
Essential
- Proficient in R and/or python
- Proficient in the use of data science libraries (eg. numpy/scipy, scikit-learn, pandas, tidyverse)
- Experience of using and applying machine learning and data-mining tools to address clinical, operational, audit and research questions
- Experience in the use of NLP software and packages (e.g. NLKT, SPaCy)
- Experience of using and applying machine learning and data mining tools to address clinical, operational, audit, and research questions
Desirable
- Experience of producing software to be certified as a medical device and/or subject to clinical risk management standards
- Experience of supporting/developing a clinical analytics platform in a large, complex academic health science centre or similar environment
- Experience of working closely with leading academic AI/Machine Learning groups to develop, test and implement, "Big Data Techniques" on health and genomics data
Skills and Competencies
Essential
- Demonstratable experience and knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems using healthcare data
- Demonstratable skills and competencies in collaborating with software engineering and AI development teams
- Competent working in Linux environment, experience with cloud platforms and/or HPC clusters
- Ability to multitask and work under pressure independently as well as within a team
- Demonstrable skills and competencies in documenting proposals and procedures to a high level. Demonstrated via previous work, publications, contributions to open source projects or coding competitions
- Demonstrable skills and competencies in developing research and innovation proposals, including data security aspects and consent, and delivering through publications, contributions to open source projects or coding competitions
- Demonstrable skills and competencies in providing consultancy services to clinical/academic users in developing their detailed proposal specifications using structured and unstructured data
- Demonstratably high level of communication skills and ability to explain technical issues to a non-technical audience
- Ability to manage user expectations and troubleshoot when required
- Able to liaise and communicate with staff from all levels within the Trust
- Able to prioritise workload in response to changing demands
- Strong analytical and data visualisation skills
- Professional approach with skills in communication and team working
- Ability to produce software in a quality managed environment
Desirable
- Demonstratable skills and competencies in transferring public and industry quality standards and tools to novel settings
Person Specification
Education and Qualification
Essential
- Educated to a BSc degree level with relevant domain knowledge, skills and experience in the informatics field
- MSc in Computer Science, mathematics, statistics, physics, computational biology, artificial intelligence, data science or other quantitative field is preferred
- Post-Graduate experience in advanced data analysis/machine learning related to healthcare
Desirable
- Completed or just completed Scientific Training Programme (or equivalent) in Bioinformatics/Informatics and registered/registration submitted for the Health and Care Professions Council
Knowledge and Experience
Essential
- Proficient in R and/or python
- Proficient in the use of data science libraries (eg. numpy/scipy, scikit-learn, pandas, tidyverse)
- Experience of using and applying machine learning and data-mining tools to address clinical, operational, audit and research questions
- Experience in the use of NLP software and packages (e.g. NLKT, SPaCy)
- Experience of using and applying machine learning and data mining tools to address clinical, operational, audit, and research questions
Desirable
- Experience of producing software to be certified as a medical device and/or subject to clinical risk management standards
- Experience of supporting/developing a clinical analytics platform in a large, complex academic health science centre or similar environment
- Experience of working closely with leading academic AI/Machine Learning groups to develop, test and implement, "Big Data Techniques" on health and genomics data
Skills and Competencies
Essential
- Demonstratable experience and knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems using healthcare data
- Demonstratable skills and competencies in collaborating with software engineering and AI development teams
- Competent working in Linux environment, experience with cloud platforms and/or HPC clusters
- Ability to multitask and work under pressure independently as well as within a team
- Demonstrable skills and competencies in documenting proposals and procedures to a high level. Demonstrated via previous work, publications, contributions to open source projects or coding competitions
- Demonstrable skills and competencies in developing research and innovation proposals, including data security aspects and consent, and delivering through publications, contributions to open source projects or coding competitions
- Demonstrable skills and competencies in providing consultancy services to clinical/academic users in developing their detailed proposal specifications using structured and unstructured data
- Demonstratably high level of communication skills and ability to explain technical issues to a non-technical audience
- Ability to manage user expectations and troubleshoot when required
- Able to liaise and communicate with staff from all levels within the Trust
- Able to prioritise workload in response to changing demands
- Strong analytical and data visualisation skills
- Professional approach with skills in communication and team working
- Ability to produce software in a quality managed environment
Desirable
- Demonstratable skills and competencies in transferring public and industry quality standards and tools to novel settings
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).
