About the job
About Nucs AI
Nucs AI is at the forefront of transforming cancer treatment through advanced artificial intelligence and medical imaging technologies. Established in 2024 by a diverse team of oncologists, AI specialists, and healthcare pioneers, we address one of the greatest challenges in modern medicine: the increasing need for precise and timely cancer diagnostics amidst soaring scan volumes and constrained radiologist resources.
Positioned at the crossroad of diagnostics and treatment planning, we develop AI-driven tools that integrate medical imaging, radioligand therapy, and artificial intelligence. Initially focusing on prostate cancer and expanding into other areas of oncology, we collaborate with top-tier medical institutions and pharmaceutical companies across the United States, Europe, and Australia to incorporate precision oncology into routine clinical practice.
Our mission is to enhance diagnostic accuracy and broaden access to expert-level cancer care, ultimately improving patient outcomes globally. As a venture-backed startup in its early stages, we are building a team that combines extensive clinical knowledge with engineering excellence, moving with the urgency and precision that the medical field demands.
The Opportunity
We are seeking a Machine Learning Scientist to elevate our machine learning research capabilities within clinical oncology. This senior, research-focused position is ideal for an individual eager to design innovative approaches for medical image analysis, predict treatment outcomes, and integrate multi-modal clinical data, translating these methods into practical clinical applications.
In this role, you will collaborate closely with physicians, medical physicists, and seasoned engineers possessing deep domain expertise. Together, you will develop methods that are both scientifically robust and clinically relevant, directly influencing our product features and contributing to peer-reviewed scientific literature.
What You’ll Do
Research & Method Development
Innovate and refine ML/DL methodologies for medical image analysis, encompassing segmentation, lesion identification, longitudinal monitoring, treatment response forecasting, and outcome modeling.
Design and execute experiments to assess new approaches against clinical benchmarks and cutting-edge methodologies.
Stay abreast of the latest literature and propose research trajectories that advance Nucs AI’s offerings and scientific contributions.
