Summary of Post The Cardiovascular Research Institute (CVRI) Dublin, in partnership with RCSI and the Mater Private Network, is seeking a highly skilled Clinical Imaging Post-Doctoral Researcher to lead the clinical validation workstream for the DUO MAX project.
In the development of AI-driven medical devices, the "Ground Truth" is the most critical asset.
As the Clinical Imaging lead, you will be responsible for establishing the definitive clinical standard for all imaging data used within the project.
Your role is to bridge the gap between complex valvular anatomy and machine learning by developing high-fidelity annotation protocols, overseeing data quality assurance, and providing final clinical adjudication on complex cases.
Based within the CVRI PRECISE Core Lab, you will ensure that the AI models for tricuspid regurgitation (TR) and right ventricular (RV) function are built upon an unassailable clinical foundation.
Specifically, the duties of the post are: The applicant will work in Prof. Soliman's lab at both RCSI and Mater Private Hospital.
Key Responsibilities The Postdoctoral Researcher is required to work mainly in the CroíValve (DUO MAX) project, which includes the following duties: Establish Clinical "Gold Standards": Define and document the definitive clinical protocols for identifying tricuspid valve morphology and grading TR severity.
Expert Adjudication: Act as the final clinical authority for complex anatomical cases, ensuring precise labelling of coaptation gaps, annular dimensions, and jet localization.
Protocol Development: Develop and refine standardised annotation guidelines for the engineering and data annotation teams to ensure clinical validity.
Quality Assurance (QA): Lead the quality assurance process for the CVRI PRECISE Core Lab, performing blinded comparisons and resolving inter-rater variability.
Algorithm Validation: Oversee the clinical validation of AI models (WP 8.5) against expert reference standards to ensure regulatory-grade accuracy.
Cross-Functional Leadership: Work closely with AI Engineers and Data Scientists to translate clinical nuances into actionable technical requirements.
Conduct systematic and comprehensive literature review on echocardiographic parameters and AI methodologies relevant to TR assessment and Right Ventricular function.
Help with the preparation and submission of high-quality manuscripts for peer-reviewed journals.
Requirements Essential: Establish Clinical "Gold Standards": Define and document the definitive clinical protocols for the identification of tricuspid valve morphology and the grading of TR severity.
Expert Adjudication: Act as the final clinical authority for complex anatomical cases, ensuring precise labeling of coaptation gaps, annular dimensions, and jet localization.
Protocol Development: Develop and refine standardized annotation guidelines for the engineering and data annotation teams to ensure clinical validity.
Quality Assurance (QA): Lead the quality assurance process for the CVRI PRECISE Core Lab, performing blinded comparisons and resolving inter-rater variability.
Algorithm Validation: Oversee the clinical validation of AI models (WP 8.5) against expert reference standards to ensure regulatory-grade accuracy.
Cross-Functional Leadership: Work closely with AI Engineers and Data Scientists to translate clinical nuances into actionable technical requirements.
Proven ability to develop and implement rigorous clinical research protocols or standard operating procedures (SOPs) for data management.
Evidence of research productivity, such as peer-reviewed publications by first/senior author/co-author publications in peer-reviewed journals or contributions to large-scale clinical studies.
Excellent communication skills with the ability to bridge the gap between medical and technical/engineering disciplines.
Desirable:
1. Specific expertise in Tricuspid Valve anatomy and Right Ventricular (RV) function.
2. Experience working within a multi-centre clinical trial or a large-scale research consortium.
3. Familiarity with the integration of AI tools into clinical workflows We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application — we'd love to hear from you.