Machine Learning Scientist

Nucs AI is a venture-backed, early-stage company revolutionizing cancer care through cutting-edge AI and medical imaging technology. We are seeking a Machine Learning Scientist to join our multidisciplinary team and develop novel approaches to medical image analysis and treatment outcome prediction.

Key responsibilities

• Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, and treatment response prediction.
• Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods.
• Publish findings in top-tier scientific venues and represent the company at international conferences.
• Collaborate with clinicians and medical physicists to ensure research methods are grounded in clinical reality.
• Support scientific diligence and contribute to clinical validation studies for regulatory submissions.

Requirements

• PhD in machine learning, computer vision, medical image analysis, or a related field.
• Strong publication record in relevant venues such as MICCAI, RSNA, or JNM.
• Deep expertise in deep learning architectures for image analysis, including CNNs, transformers, and U-Nets.
• Strong programming skills in Python and deep learning frameworks, with a preference for PyTorch.
• Solid statistical foundations, including experimental design, hypothesis testing, and survival analysis.

What we offer

• The opportunity to work on a mission with real impact, directly improving cancer diagnostics and treatment.
• A ground-floor opportunity at an early-stage company with meaningful equity and significant influence.
• Collaboration with world-class oncologists, nuclear medicine physicians, and AI researchers globally.
• Full autonomy and flexibility in a remote-first work environment.