Job Summary:

The New Brunswick Heart Centre has a mission to deliver the highest quality cardiovascular care, while respecting the dignity and individuality of our patients, co-workers and the public we serve. We are currently seeking a full-time AI Technologist to play a pivotal role in leading and developing the newly created AI-research program at the New Brunswick Heart Center and in collaboration with the IMPART investigator team (https://impart.team/). As an AI-Technologist you will be responsible for integrating with the clinical and research team to use relevant datasets and outcome goals that inform clinical decision making by developing and implementing machine learning algorithms and models as solutions to enhance patient care, optimize diagnostic accuracy, and improve operational efficiencies within the heart center. The ideal candidate has experience in statistical modeling, machine learning, medical imaging, and predictive analytics applicable to cardiology and healthcare service delivery.

The position is renewable and negotiable on a two-year term, stabilized by institutional support, and augmented by regional, provincial, and national grant capture. It offers the potential for advancement based on qualifications, experience and achievements. The position will focus considerably on project and team leadership. The candidate will be expected to work collaboratively in teams spanning translational medicine, biomarker discovery, medical device companies, and medical device or disease-specific clinical working groups. The position is research focused on cardiovascular outcomes, predictive analytics, and companion diagnostics using best in class medical devices, clinical database analytics, or innovative medicines to elevate evidence-based decision making or inform health policy and knowledge translation and mobilization actions with public stakeholders and industry partners.

Key Job Responsibilities:

· Working with clinicians and scientists to lead, design, and develop complex AI applications, develop innovative methodologies and protocols for cardiac diagnostics, patient risk assessment, and treatment planning.

· Collaborate with interdisciplinary teams across the department of cardiac sciences (cardiology, interventional cardiology, electrophysiology and cardiac surgery) and outside the department (e.g. emergency medicine, pulmonology, nephrology), researchers, and IT teams to integrate AI-driven solutions into clinical workflows.

· Analyze and preprocess large-scale patient data, including medical images, electronic health records (EHRs), and real-time monitoring data.

· Optimize machine learning models to improve cardiac healthcare applications' accuracy, speed, and reliability.

· Assist scientists/clinicians with oversight of various research programs/projects involving AI, including the supervision of technical and clinical staff and oversight to ensure maintenance of research records and data quality.

· Stay updated with the latest advancements in AI and healthcare technologies to drive innovation within the heart center.

· Develop documentation and training materials for clinicians and staff on AI tool utilization.

· Collaborate with the team to apply for and secure external funding through grant proposals and research partnerships with academia, industry and government.

· Serve as a subject matter expert and represent the institute in scientific and AI-focused meetings.

· Critically assess and collaborate with industry partners providing AI services, tools, or companion drugs/devices.

· Assist the directors and senior scientists with strategic planning and provide input on the future direction of the research program.

· Increase the visibility of the research institute locally through the organization of research seminars and attending local conference events.

· Occasionally, travel for conferences or collaborative projects.

· Other responsibilities delegated by the senior administrative and clinical director.

Qualifications:

· PhD + 2 years of post-doctoral/industry experience in a relevant field (e.g., artificial intelligence/machine learning algorithms, bioinformatics, computer sciences, or engineering).

· 3+ years of experience in AI/MLA development, preferably in the healthcare or medical imaging sector.

· Experience with cloud computing platforms and big data technologies.

· Experience in AI-commercialization.

· Proficiency in programming languages such as Python, R, or TensorFlow/PyTorch.

· Experience with medical imaging analysis (e.g., MRI, CT, echocardiograms) and deep learning frameworks.

· Knowledge of healthcare data standards (HL7, DICOM, FHIR) and EHR integration.

· Strong analytical and problem-solving skills with the ability to translate clinical needs into AI-driven solutions.

· Familiarity with regulatory considerations for AI applications in healthcare.

· Strong organizational skills, and the ability to concurrently manage multiple tasks and projects.

· Excellent communication and interpersonal skills to work effectively with a diverse team of healthcare professionals and researchers.

· Proficiency in using AI-focused software and familiarity with commonly used tools in AI.

· A high level of attention to detail and the ability to maintain confidentiality and accuracy in all research-related matters.

· Fluency in English or French is necessary; bilingual candidates will be considered favourably, as would proficiency in languages other than English (fluency, reading, writing, or understanding levels of language should be listed in CV or cover letter).

Send Resume & Cover Letter to Kenneth D'Souza [Senior Scientist] (Kenneth.d'[email protected]). Review of applicants will begin on June 1, 2025 and will continue until a suitable candidate is found. Only short-listed candidates will be contacted for an interview.