Cleerly is revolutionizing how heart disease is diagnosed, treated, and tracked by developing AI-driven precision diagnostic solutions to prevent heart attacks. The company is seeking a Machine Learning Scientist to develop and translate cutting-edge ML models that impact the care pathway for heart disease diagnosis and prognosis.
Requirements
- 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.
- Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
- Strong domain knowledge in CT imaging and its clinical applications.
Responsibilities
- 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.
Other
- 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 critical thinking, problem-solving, and project management skills.
- Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.
- 2+ years of postdoctoral research or industry experience.
- Ability to collaborate digitally and use a wide variety of systems like Google Workspace, Slack, Confluence/Jira, and Zoom Video.
