Sr. ML Scientist

Cleerly•Boston, MA

4d•$186,000 - $212,000•Remote

About The Position

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.

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.

Nice To Haves

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.

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.