Senior Machine Learning Scientist, Cleerly

• 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
• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ 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, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results
• Ability to translate complex clinical requirements into machine learning solutions
• Strong critical thinking, problem-solving, and project management skills
• Excellent interpersonal, cross-functional, and cross-cultural collaboration 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 analysis and validation of machine learning algorithms and prototypes
• Explore novel methods for processing and analyzing large, complex medical imaging datasets
• Collaborate with engineering teams to deploy ML algorithms in clinical practice
• Present research findings, insights, and recommendations to internal stakeholders and external collaborators
• Author scientific publications and contribute to patent development
• Manage collaborative research projects with leading academic partners