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- Oversee the end-to-end development of the product, integrating computational flow dynamics (CFD) algorithms with AI algorithms to accurately assess the severity of vessel narrowing and provide and FFR assessment of the entire coronary tree.
- Streamline the process of calculating FFR to minimise the amount of manual interaction required and the time required to simulate a single case
- Optimise the processing and calculation of the FFR output (both sides of the coronary tree) to provide fast computation of FFR results in real-time to support Artrya’s point-of-care value proposition and future product roadmap
- Assess the interaction of blood flow, plaque growth, and plaque destabilization
- Collaborate with cross-functional teams, including data scientists, engineers, and clinical experts, to refine algorithms, optimize software performance, and validate functionality.
- Validate a range of different CFD simulations against known results including both 3rd party simulations and ground truth from invasive FFR
- Assist in assessing and validating simulations performed in other computational fluid dynamics frameworks, including Fluent, OpenFOAM, etc
- Drive product testing, validation, and iteration based on feedback from pilot programs, clinical trials, and user testing through collaboration with relevant teams.
- Define and track key success metrics such as diagnostic accuracy and software performance.
Clinical and Regulatory Alignment
Ensure the product complies with relevant medical device regulations (e.g., FDA, TGA, CE marking) and standards for AI in healthcare.Partner with clinical experts to validate the product's accuracy and reliability in detecting stenosis and generating actionable diagnostic insights.Support the development of clinical study protocols and the generation of evidence for regulatory submissions if required.Stakeholder Engagement
Engage with key stakeholders, including clinicians, radiologists, cardiologists, and vascular surgeons, to ensure the product addresses real-world diagnostic challenges.Regularly report progress to senior leadership and key stakeholders.About You
We want to hear from you if you are ready for the next step in your career. We would prefer someone with :
Degree or masters in Biomedical Engineering, Computer Science, AI, Machine Learning, Physics or a related field with a focus on computational fluid dynamics (CFD).5+ years developing mathematical and computational models of coronary blood flow, including anatomic models of the vasculature and physiological models of heart function5+ years designing and implementing algorithms for analysing cardiovascular imaging data (e.g., CT angiography) to estimate blood flow and FFR3+ years leveraging AI and machine learning techniques to enhance the accuracy and efficiency of FFR calculations and analysisHands-on experience with AI / ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).Experience in Jira and GithubStrong communication and collaboration skillsWhat We Offer
If this sounds like you, be part of Artrya’s journey and be rewarded by knowing you will be instrumental in an organisationthat is 100% aligned to its purpose of saving lives.
Why you will love working withus
Our business is in transition going from start up to now having regulatory approval to commercialise in Australia and the US while we continue to build our products. By joining us, you will help build our new feature pipeline.
We aim to learn fast and develop insightful solutions through our practical and pragmatic approach in working together.
Artrya is an equal opportunity employer with a strong commitment to diversity in the workplace.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
Engineering and Information Technology
Industries
Medical Equipment Manufacturing
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