Band 8a
Main area: Health Data Science
Grade: Band 8a
Contract: Permanent
Hours: Full time - 37.5 hours per week
Job ref: 213-PRUH-6588360
Employer: King's College Hospital NHS Foundation Trust
Employer type: NHS
Site: King's College Hospital NHS Foundation Trust
Town: London
Salary: £61,927 - £68,676 per annum, including high cost allowance
Salary period: Yearly
Closing: 04/10/2024 23:59
Job overview
The AI and Data Science group CogStack is seeking a Clinical Scientist to join our Team as Principal Clinical Informatician. The post holder will be responsible for developing predictive algorithms using Machine Learning techniques as applied to healthcare settings for a number of key clinical areas. This will include developing the clinical analytics platform by managing, analysing and harmonizing genomics data alongside existing clinical, diagnostics and imaging data analytical pipelines.
The post-holder will also take responsibilities in further developing the data systems underlying and building on the CogStack data lake and lead on the development of new services and applications that build on this architecture. This includes responsibilities in related quality management and data governance processes.
The position offers an exciting 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.
Main duties of the job
The post-holder will be responsible for developing predictive algorithms using Machine Learning techniques as applied to healthcare settings for a number of key clinical areas. This will include developing the clinical analytics platform by managing, analysing and harmonizing genomics data alongside existing clinical, diagnostics and imaging data analytical pipelines. The expectation is to publish these projects in peer-reviewed journals.
The post-holder will also be responsible for supporting the day-to-day operational activity of the clinical analytics platform, the main data backend infrastructure. The post holder will lead on the evolution of current data flow architectures and develop the next generation of user-facing applications leveraging the information from the CogStack data lake.
Further responsibilities include the active development and improvement of internal quality management and data governance processes. Effective communication with data requestors, collaborators, developers and management is key to this position.
Person specification
Education and Qualifications
- 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
- Completed or just completing Scientific Training Programme (or equivalence certification) in Bioinformatics / Health Informatics
- Post-Graduate experience in advanced data analysis/machine learning related to healthcare
- PhD in computational biology, computer science, artificial intelligence, machine learning, data science or other quantitative field
Management Experience
- Experience in leading and managing a bioinformatics and data analytics team
- Experience in developing management policies and procedures
- Experience in developing informatics workflows in a complex clinical setting
Scientific Experience
- Experience in writing scientific proposals, grants and publications
- Experience of working in a number of computing languages
- Ability to use statistical programs such as NumPy/SciPy, R or SPSS
Knowledge and Experience
- Proficient in R and/or python programming
- Proficient in the use of data science libraries (e.g. numpy/scipy, scikit-learn, pandas, tidyverse, matplotlib)
- Experience with at least one major machine learning framework (e.g. pytorch, tensorflow, keras, NLTK)
- Experience of using and applying machine learning and data-mining tools to address clinical, operational, audit and research questions
- Experience in Linux system administration
Skills and Competencies
- Demonstrable experience and knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems using healthcare data
- Highly competent working in Linux environment, experience with cloud platforms and/or HPC clusters
- Demonstrable skills in accurately documenting and communicating system deployments and data analytics processes
- Demonstrably high level of communication skills and ability to explain technical issues to a non-technical audience
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