Sr. ML Scientist

About Cleerly

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission.

In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.

Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.

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. Role or department specific technology needs may vary and will be listed as requirements in the job description.

While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.

Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives.

Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle.  Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.

About the Opportunity

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.

Key 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.

Required Qualifications & Skills

* 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.

Preferred Qualifications

* 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…