Cleerly is seeking to solve the problem of heart disease diagnosis and prognosis through the development of cutting-edge ML models that have a direct impact on the care pathway.
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.
- 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.
- Experience with advanced ML topics: vision transformers, longitudinal modeling, ML-based survival analysis, semi-/self-supervised learning, continual learning, etc.
- Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.
Responsibilities
- 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.
Other
- 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.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to work remotely with access to offices in Denver, Colorado, New York, New York, Dallas, Texas, and Lisbon, Portugal.
- Must be able to receive SMS messages from Cleerly recruiters throughout the interview process.
- Must agree to the company's privacy policy and terms of use.
