Staff Scientist, Imaging Systems

Cleerly

2d•Remote

About The Position

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.

Requirements

PHD. 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.
Applied AI/DL research for medical imaging diagnostics and analysis, classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration
Proven track record of successful product delivery in medical imaging domain
Strong experience in C++ and Python.
Experience of developing and applying graph processing or GNN(graph neural network)
Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Nice To Haves

Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus
Prior experience with cardiac motion modelling or tracking is a plus
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.

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.