About Origin Medical Research Lab

Origin Medical Research Lab is the research arm of Origin Medical. Here, we strive to bring together the best and brightest minds at the intersection of AI and healthcare to fulfill Origin Medical’s mission.

By combining the knowledge of healthcare and AI, it is on a journey to build state-of-the-art solutions aimed at supporting a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Origin Medical, headquartered in Cambridge, Massachusetts, USA, is driven by a mission to advance maternal health equity by improving access to quality prenatal care with artificial intelligence.

What will you do?

A Research Scientist at Origin Medical will work with leading medical institutions, clinicians, and AI scientists in developing the next generation of deep learning and computer vision algorithms for the automated assessment of fetal ultrasound images (pregnancy scans) to detect birth defects. You will:

• Lead research and concept development for projects, including defining experimental strategies and approaches.
• Manage and oversee multiple project verticals, ensuring timely and high-quality execution.
• Review code, datasets, and technical documents to maintain rigor, quality, and integrity.
• Collaborate with data teams on dataset strategy, preparation, and optimisation.
• Coordinate with Clinical Quality teams to align product requirements with clinical and AI feasibility.
• Allocate and manage resources required for development and research activities.
• Support and mentor team members through regular check-ins and guidance.
• Drive recruitment efforts for research roles including Research Scientists, Engineers, and Interns.
• Ensure implementation and adherence to regulatory compliance standards.

Who are we looking for?

• PhD. in medical imaging/computer science
• 5 plus years of Proficiency and working experience in general machine learning research and development: neural networks, optimization, hyperparameter tuning, model search, etc.;
• Proficiency and working experience in developing deep learning models for image recognition applications (experience in medical imaging is a plus);
• Proficiency and working experience in machine learning libraries and frameworks: PyTorch (preferable), Tensorflow, Keras, etc.;
• Working fluency in Python;
• Proficiency and work experience in developing custom computer vision algorithms and image processing techniques for image recognition and analysis problems using Python-based libraries (e.g., OpenCV, SciPy, Scikit, SimpleITK, PIL, etc.);
• The ability to quickly understand and implement academic publications is a plus;
• Basic understanding of Git and Git Workflow is a plus;
• Experience in Agile development is a plus;
• Basic understanding of software architecture and design, especially object-oriented design is a plus;
• A basic understanding of database is a plus;
• Team player and eager to learn attitude;
• Passionate in developing the next generation technological solutions in healthcare to impact the lives of millions of expecting mothers and their families around the world.

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Please note that our company does not charge any fees for internships or job applications. Any such requests for payment should be considered fraudulent. We strongly advise you to report any suspicious activity involving our name to the appropriate authorities.

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The information provided in this job posting outlines the general nature of the role. It is not an exhaustive list of responsibilities, duties, or skills required. The company reserves the right to make changes to this description at any time based on business needs.

Our company is an Equal Opportunity Employer, and we do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, or any other status protected under federal, state, or local laws.