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.
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.
TTC*:
Denver: $207,000 - $253,000
New York: $227,700 - $278,000
*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay,
commission, bonuses, etc.). We hire employees anywhere within the United States and account
for geography when determining base salary.
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).
- 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 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.
Working at Cleerly takes HEART. Discover our Core Values:
- H: Humility- be a servant leader
- E: Excellence- deliver world-changing results
- A: Accountability- do what you say; expect the same from others
- R: Remarkable- inspire & innovate with impact
- T: Teamwork- together we win
Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY 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.
By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
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