Staff Scientist, Imaging Systems

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 a highly skilled Staff 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: $270,000 - $310,000CO: $265,000 - $305,000

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

Responsibilities

• Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications.
• Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments.
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams.
• Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation.
• Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice.
• Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos.
• Contribute to intellectual property development through patents and scientific publications.
• Mentor junior scientists and foster a culture of technical excellence and scientific rigor.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience.
• R&D experience in medical image processing, including classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration
• Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).
• Strong experience in C++ and Python.
• Experience of developing and applying graph processing or GNN(graph neural network)
• Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus
• Prior experience with cardiac motion modelling or tracking is a plus
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications

• 5+ years of industry experience in AI-based medical device development or clinical deployment.
• Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways.
• Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.