ABOUT CLEERLY

We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.

ABOUT THE OPPORTUNITY

We are seeking an accomplished Principal Machine Learning Scientist to lead the development, validation, and deployment of advanced machine learning models that directly impact the diagnostic and prognostic care pathways for heart disease. In this senior-level role, you will provide technical leadership across multidisciplinary teams, help shape the company’s ML roadmap, and guide high-stakes projects from ideation through regulatory approval and clinical integration. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health.

REQUIREMENTS

• Ph.D. in Computer Science, Biomedical Engineering, Data Science, or a related technical field.
• 8+ years of post Ph.D. or industry experience leading applied ML initiatives.
• Demonstrated technical leadership in developing and deploying ML models in regulated or clinical domains. Recognized expert in machine learning and medical imaging.
• Deep expertise in machine learning theory and practice, with a strong track record in 3D medical image analysis, including segmentation, reconstruction, registration, restoration, detection, and/or predictive analytics.
• Strong track record of publications in top-tier machine learning, medical imaging or computer vision

PREFERRED QUALIFICATIONS

• 12+ years of post Ph.D. or industry experience leading applied ML initiatives.
• Hands-on expertise in advanced ML techniques such as vision transformers, self-supervised learning, continual/incremental learning, contrastive learning or physics-informed deep learning.
• Experience with ML orchestration frameworks, such as Kubeflow, MLFlow, Ray, Metaflow, or Argo Workflow
• Strong domain knowledge in cardiac CT and coronary artery disease diagnostics.
• Experience contributing to 510(k) submissions or working in a regulated SaMD development environment.

• Lead the design and development of state-of-the-art ML and deep learning models for complex, multi-modal medical imaging and clinical data across multiple projects
• Define technical and research strategies to achieve new business opportunities, and lead proposals to pursue new areas of science or technology in programs to meet the organization’s long-term strategic goals.
• Set the technical direction for core ML initiatives, balancing scientific rigor with clinical and business priorities. Evangelizes new technology within the company.
• Drive innovation in data representation, model architecture, and learning paradigms to advance the field and improve clinical outcomes. Establish frameworks and processes that are used across teams.
• Oversee and guide rigorous validation, benchmarking, and regulatory-aligned evaluation of ML algorithms.
• Partner with scientific affairs, engineering, product, biostatistician, and regulatory teams to drive the end-to-end lifecycle of medical products to ensure successful delivery and impact. Rally others around a clear vision.
• Provide support and guidance in all phases of the product development cycle to ensure delivery of high-quality products. Provide design and system optimization solutions to drive improved customer experience and satisfaction.
• Mentor and guide other ML scientists and engineers, fostering a culture of technical excellence and continuous learning.
• Lead collaborative research efforts with academic and medical partners; author high-impact publications and contribute to the company’s intellectual property portfolio.
• Present findings, strategic insights, and technical recommendations to executive leadership and external stakeholders.