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- Tasks: Develop AI-assisted reporting tools for cardiac MRI, enhancing clinical workflows and patient care.
- Company: Join King's College London and collaborate with NHS experts in a cutting-edge research environment.
- Benefits: Enjoy professional development opportunities, competitive salary, and a supportive work culture.
- Why this job: Make a real impact in healthcare by integrating AI into vital medical imaging processes.
- Qualifications: PhD or equivalent in relevant fields, with skills in machine learning and software development.
- Other info: Full-time role with excellent career growth and a focus on innovation in healthcare.
The predicted salary is between 30000 - 50000 Ā£ per year.
Cardiac Magnetic Resonance (CMR) is increasingly central to the diagnosis and management of a wide range of cardiovascular conditions. However, the clinical impact of CMR is currently limited by timeāconsuming reporting workflows and the scarcity of specialist expertise required to interpret studies. Advances in artificial intelligence (AI) and large language models (LLMs) offer new opportunities to streamline, standardise and enhance CMR reporting, but robust integration of these technologies into real clinical environments remains a major challenge.
The role will be based at King's College London, working closely with clinical teams at Guy's & St Thomas' NHS Foundation Trust, and embedded within the multidisciplinary ecosystem of the London Medical Imaging & Artificial Intelligence Centre for ValueāBased Healthcare. The project includes collaboration with NHS partners and industry stakeholders to ensure that the reporting interface is technically robust, clinically usable and ready for translation into routine practice.
This post will support the development and early implementation of an NHSāready, AIāassisted CMR reporting interface (edgeCMR). The role is intended to establish the technical and clinical foundations required for subsequent externally funded research programmes, while delivering immediate benefits for clinical service delivery, including improved reporting efficiency, standardisation, and risk reduction within routine CMR workflows, integrating locally deployed AI models, LLMādriven clinical text generation and interoperability with hospital systems through HL7/FHIRābased communication. The overall aim is to replace existing thirdāparty reporting software with a clinicianācentred, flexible and fully customisable workflow tailored to the requirements of modern CMR practice.
A particular focus of this position will be the development of the reporting interface and its underlying data pathways, including:
- Building structured and interactive reporting tools that incorporate LLMāassisted drafting and realātime clinician editing;
- Integrating local AI outputs (e.g., quantitative measurements and imageāderived biomarker) into structured templates;
- Ensuring reliable communication with electronic patient record systems (e.g., EPIC) through HL7/FHIR mechanisms;
- Supporting userācentred evaluation and iterative refinement of the reporting environment.
This is a fullātime post (35 hours per week), and you will be offered a fixedāterm contract until 31st March 2027. Research staff at King's are entitled to at least 10 days per year (proārata) for professional development.
Essential criteria
- PhD or equivalent (or thesis submitted*) in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering, Medical Imaging, Applied Mathematics, or a closely related area.
- Demonstrated competence in machine learning, including experience with medical image analysis, computer vision, or related AI methodologies.
- Experience working with large language models (LLMs) and/or NLP pipelines, including prompt engineering, fineātuning or evaluation.
- Ability to work effectively within a collaborative software development environment and to engage constructively with colleagues from diverse academic and clinical backgrounds.
- Strong organisational skills, with the ability to manage tasks independently, meet deadlines and work calmly under pressure.
- Strong software development skills in Python, with experience integrating ML components into larger software systems.
- Experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow) and related tooling.
- Highly developed verbal and written communication skills, including the ability to present complex technical ideas clearly and to collaborate with staff across different levels and disciplines.
Desirable criteria
- Knowledge of medical imaging, particularly CMR, and/or familiarity with DICOM and clinical imaging workflows.
- Experience with medical image analysis or computer vision packages and associated toolkits.
- Experience with healthcare data standards (HL7, FHIR) or integration with electronic patient record systems.
- Experience with standard software engineering practices, including version control systems (e.g., Git), software testing methodologies and collaborative code development.
At King's, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not.
We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.
When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King's guidance.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description.
Research Associate - Artificial Intelligence in Cardiac MRI in London employer: Kings College London
Contact Detail:
Kings College London Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Research Associate - Artificial Intelligence in Cardiac MRI in London
āØTip Number 1
Network like a pro! Reach out to professionals in the field of AI and cardiac MRI on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
āØTip Number 2
Show off your skills! If youāve worked on relevant projects, create a portfolio or a GitHub repository showcasing your work with machine learning and medical imaging. This gives potential employers a taste of what you can do.
āØTip Number 3
Prepare for interviews by brushing up on common questions related to AI and CMR. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and clinical teams.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Associate - Artificial Intelligence in Cardiac MRI in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the role of Research Associate. Highlight your experience in AI, machine learning, and medical imaging, as these are key areas for us. Use specific examples that demonstrate your skills and achievements.
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Clearly outline how you meet the essential criteria listed in the job description. Be specific about your experiences with LLMs, Python, and collaborative environments, as we want to see how you fit into our team.
Showcase Your Communication Skills: Since strong communication skills are essential for this role, make sure your application reflects this. Use clear and concise language, and donāt shy away from explaining complex ideas simply. We want to see that you can communicate effectively with diverse teams.
Apply Through Our Website: Donāt forget to apply through our website! Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it gives you a chance to explore more about us and what we do at StudySmarter.
How to prepare for a job interview at Kings College London
āØKnow Your Stuff
Make sure you brush up on your knowledge of machine learning, AI methodologies, and medical imaging. Be ready to discuss your experience with large language models and how they can be applied in cardiac MRI. This shows you're not just familiar with the theory but can also apply it practically.
āØShow Your Collaborative Spirit
This role involves working closely with clinical teams and diverse colleagues. Prepare examples of past collaborations where you successfully engaged with different disciplines. Highlight your ability to communicate complex ideas clearly, as this will be crucial in a multidisciplinary environment.
āØDemonstrate Problem-Solving Skills
Think of specific challenges you've faced in software development or machine learning projects and how you overcame them. Be ready to discuss your approach to integrating ML components into larger systems, especially in a clinical context. This will show your potential employer that you can handle real-world problems.
āØPrepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the role, the team, and the projects you'll be involved in. This not only shows your interest but also helps you gauge if the position aligns with your career goals. Ask about their current challenges in CMR reporting and how you could contribute.
