Principal Scientist, Imaging Services

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 Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. 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.

TTC*:

NY: $288,000 - $348,000
CO:  $282,000 - $324,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay,
commission, bonuses, etc.). We hire employees anywhere within the United States and account
for geography when determining base salary.

Responsibilities

• Lead research and development of AI and non-AI solutions for complex, multi-modal medical imaging problems.
• 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 R&D, balancing scientific rigor with clinical and business priorities. Evangelizes new technology within the company.
• Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments.
• 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 R&D 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.

Requirements

• Ph.D. in Computer Science, Biomedical Engineering, Data Science, or a related technical field.
• 8+ years of post Ph.D. or industry experience in image processing or computer vision, preferable in the medical sector.
• Proven success in developing and deploying AI or Non-AI solutions in regulated or clinical domains.
• Hands-on experience with classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration.
• Experience in graph processing or GNN(graph neural network) is desired.
• Strong experience in C/C++ and Python
• Prior experience with ITK, OpenCV, VTK, CMake,