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Clinical Informatics Lead
2 months ago
Job Summary
We are seeking a highly skilled Clinical Informatics Lead to join our team at King's College Hospital NHS Foundation Trust. The successful candidate will be responsible for developing and implementing clinical analytics solutions, leading a team of clinical informaticians, and collaborating with stakeholders to improve patient care.
Key Responsibilities
- Develop and Implement Clinical Analytics Solutions
- Design and develop machine learning algorithms for diagnosis, prognosis, and follow-up of complex diseases
- Develop and implement data analytics solutions in response to business strategy and clinical need
- Collaborate with stakeholders to identify and prioritize clinical analytics projects
- Lead a Team of Clinical Informaticians
- Lead, coach, and manage the performance of the team in line with good people management practices
- Responsible for the training of clinical informatics staff, including STP and other trainees
- Develop and manage the STP training programme
- Collaborate with Stakeholders
- Collaborate with trust ICT, business intelligence unit, KHP data scientists, and referring institutions to ensure effective and efficient deployment of resources
- Participate in research and development as required within the KHP Institutes and Biomedical Research Centres
- Ensure Quality and Governance
- Ensure that at all times there is adequate staff, computational resources, including system redundancy, for the efficient provision of the service
- Participate in internal and external audits in accordance with the departments quality manual
- Develop and Improve Scientific Expertise
- Undertake training and development to successfully acquire core competencies necessary for performance as a Clinical Informatician
- Develop and improve scientific expertise via Continuing Professional Development (CPD)
Requirements
- 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 and registered / registration submitted for the Health and Care Professions Council
- Post-Graduate experience in advanced data analysis/machine learning related to healthcare
- Management Experience
- Experience in leading and managing teams and projects
Desirable Qualifications
- PhD in computational biology, computer science, artificial intelligence, machine learning, data science, or other quantitative field