Staff Machine Learning Scientist, Cleerly

• 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
• Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning
• Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection
• 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)
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow); experience building reproducible ML pipelines and handling large-scale datasets
• Ability to translate complex clinical requirements into machine learning solutions
• Proven ability to independently drive several complex projects from concept to deployment, including cross-functional coordination
• Excellent communication, collaboration, and stakeholder management skills

Desirable

• We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis
• In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals
• You will also engage in high-impact research collaborations with world-renowned academic and medical institutions
• Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications
• Conduct rigorous experimental design, statistical validation, and performance benchmarking of ML algorithms, with emphasis on clinical relevance and generalizability
• Explore novel methods for processing and analyzing large, complex medical imaging datasets
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams
• Partner with Regulatory Affairs to support AI-based regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation
• Collaborate with engineering teams to deploy ML algorithms 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