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Principal Clinical Informatics Specialist

2 months ago

London, Greater London, United Kingdom King's College Hospital NHS Foundation Trust Full time
About the Role

We are seeking a highly skilled and experienced Principal Clinical Informatician to join our team at King's College Hospital NHS Foundation Trust. As a key member of our AI and Data Science group, CogStack, you will play a crucial role in developing predictive algorithms using Machine Learning techniques to improve healthcare outcomes.

Main Responsibilities
  • Develop Predictive Models: Design and implement predictive algorithms using Machine Learning techniques to diagnose, prognose, and follow-up complex diseases.
  • Machine Learning Outcomes: Develop machine learning outcomes for monitoring and improving outcome measures.
  • Algorithm Benchmarking: Benchmark and fine-tune machine learning algorithms tools for quality control, and validate new features in collaboration with internal and external stakeholders.
  • Scientific Literature Review: Continuously scan the scientific literature to identify new approaches to machine learning applications that can be implemented to improve our capabilities.
  • Knowledge Dissemination: Contribute to the publication and dissemination of our learnings in the form of scientific papers, conferences, workshops, and forums.
Systems Architecture Responsibilities
  • System Design: Review systems architecture and design, storage solutions, and analysis pipelines for the departmental business plans.
  • Data Analytics Solutions: Develop data analytics solutions in response to business strategy and clinical need.
  • Version Control: Manage and operate version control systems and procedures.
  • Software Development: Help maintain and further develop existing in-production software/web applications.
  • Tool Recommendations: Advise on the use of tools, frameworks, hardware, and software for ML/AI applications.
  • Data Security: Liaise and effectively communicate with trust ICT in matters of data storage and safety, processing, and transfer.
Clinical Analytics Responsibilities
  • Clinical Problem-Solving: Understand the necessity for accurate communication of complex information and contribute to better understanding of clinical problems that require machine learning applications.
  • Consultation and Support: Support the core AI, Data Sciences & CogStack teams' activity by providing clinical users with consultation and project support to develop and improve data management, analytics, and reporting.
  • Technical Procedures: Develop and maintain technical standard operating procedures used by the AI, Data Sciences & CogStack team and ensure they are followed.
Scientific Responsibilities
  • Professional Development: Undertake training and development to successfully acquire core competencies necessary for performance as a Clinical Informatician and thereafter maintain the required standards of competence.
  • Registration and Certification: Maintain registration with the Health & Care Professions Council (HCPC).
  • Scientific Expertise: Develop and improve scientific expertise via Continuing Professional Development (CPD) and remain up to date with scientific and technical developments in the field of clinical bioinformatics, genomics, and machine learning.
Research and Innovation Responsibilities
  • Research Proposals: Develop research proposals using machine learning applications and disseminate the findings through peer-reviewed publications.
  • Data Governance: Maintain data governance and security processes put in place to restrict access to the Research datasets.
  • Collaborative Research: Develop collaborative research with colleagues in both the Trust and partner organisations to support submission through the Trust's KERRI approval process.
Quality and Clinical Governance Responsibilities
  • Service Provision: Ensure that at all times there is adequate staff, computational resources, including system redundancy, for the efficient provision of the service.
  • Internal and External Audits: Participate in internal and external audits in accordance with the departments quality manual.
  • Service Monitoring: Monitor the quality of the service provided for audit, research, and service improvement initiatives.
People Management and Performance Responsibilities
  • Team Leadership: Lead, coach, and manage the performance of the team in line with good people management practices.
  • Training and Development: Responsible for the training of clinical Informatics staff (informatics and genomics), including STP and other trainees.
  • STP Programme Management: Help develop and manage the STP training programme, and take responsibility in ensuring delivery of training modules and learning objectives according to the STP Curriculum.
Requirements
  • Education and Experience: Education to a BSc degree level with relevant domain knowledge, skills, and experience in the informatics field.
  • Post-Graduate Experience: MSc in Computer Science, mathematics, statistics, physics, computational biology, artificial intelligence, data science, or other quantitative field is preferred.
  • Scientific Training Programme: Completed or just completing Scientific Training Programme (or equivalence certification) in Bioinformatics / Health Informatics and registered / registration submitted for the Health and Care Professions Council.
  • Post-Graduate Experience: Post-Graduate experience in advanced data analysis/machine learning related to healthcare.