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About the Role

Cleerly is seeking a highly skilled Machine Learning Scientist to develop and translate cutting-edge ML models that impact heart disease diagnosis and prognosis. This role involves collaboration with various experts to understand clinical needs, develop innovative solutions, and support product development and regulatory approvals, including high-impact research collaborations.

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.

Requirements

• 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, MIDL etc.).
• 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.
• 2+ years of postdoctoral research or industry experience.
• Hands-on experience with developing and fine-tuning large foundation models.
• Hands-on experience with developing multimodal machine learning algorithms.
• Hands-on experience in developing and applying advanced deep learning models, including stable diffusion, vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
• Strong domain knowledge in CT imaging and its clinical applications.

Skills

• Machine learning
• Deep learning
• Image science
• Applied mathematics
• Medical image processing
• Segmentation
• Registration
• Classification
• Reconstruction
• Detection
• Python
• Large dataset handling
• ML pipeline implementation
• Analysis visualization
• Critical thinking
• Problem-solving
• Project management
• Interpersonal skills
• Cross-functional collaboration
• Cross-cultural collaboration
• Foundation models
• Multimodal machine learning
• Stable diffusion
• Vision transformers
• Semi-supervised learning
• Self-supervised learning
• Unsupervised learning
• Incremental learning
• Continuous learning
• CT imaging
• Google Workspace
• Slack
• Confluence/Jira
• Zoom Video

Location

• Remote
• Denver, Colorado
• New York, New York
• Dallas, Texas
• Lisbon, Portugal

Work Type

• Remote
• On-site

Experience Level

• M.S. with 5+ years of relevant experience
• 2+ years of postdoctoral research or industry experience

Education Level

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field
• M.S.

Salary/Compensations

• Base Salary: $186,000 - $212,000
• TTC: $214,000 - $245,000

Benefits

• Stock options
• Paid benefits
• Employee perks

About the Company

• Cleerly is revolutionizing heart disease diagnosis, treatment, and tracking through value-based, AI-driven precision diagnostic solutions.
• Founded in 2017, the company has secured significant funding, enabling rapid growth.
• Cleerly's technology quantifies and characterizes atherosclerosis beyond traditional measures.
• The company utilizes a variety of digital collaboration systems including Google Workspace, Slack, Confluence/Jira, and Zoom Video.
• Travel is required for some team meetings and projects, typically monthly or quarterly.
• Cleerly is committed to providing safe and effective medical software, adhering to regulatory requirements and continuously improving products and processes.
• Core Values: Humility, Excellence, Accountability, Remarkable, Teamwork.

Equal Opportunity

• Cleerly is an Equal Opportunity Employer.
• We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.