Senior ML Scientist: Medical Imaging for Oncology (Remote)

Nucs AI; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Remote-first

Flexible schedule

Job summary

Nucs AI, Inc. is seeking a senior Machine Learning Scientist to deepen ML research in clinical oncology, focusing on medical image analysis, treatment outcome prediction, and multi-modal data integration.

You will work with physicians, medical physicists, and engineers to develop rigorous, clinically meaningful methods that advance our product capabilities. You will lead experiments, validate results, and contribute to clinical validation studies and regulatory evidence.

Qualifications

• PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field.
• Strong publication record in medical imaging, clinical ML, or computer vision.
• Experience structuring and executing research collaborations with academic/clinical institutions.
• Deep learning architectures for image analysis (CNNs, transformers, U-Nets).
• Strong programming skills in Python and DL frameworks (PyTorch preferred).
• Experience working with medical imaging data (PET/CT, MRI, or similar).
• Strong statistical foundations—experimental design, hypothesis testing, survival analysis, and clinical biostatistics.

Responsibilities

• Research & method development: develop novel ML/DL methods for medical image analysis and outcome modeling.
• Clinical translation: collaborate with clinicians to ground methods in clinical reality and hand off to production engineering.
• Publish findings in top-tier venues and present at conferences.
• External engagement: collaborate with academic partners and pharma for joint studies.

Skills

Deep learning

Medical image analysis

Survival analysis

Python programming

PyTorch

Education

PhD in ML/CS/Biomedical Engineering

Tools

PyTorch

TensorFlow

Job description

Nucs AI, Inc. is seeking a senior Machine Learning Scientist to deepen ML research in clinical oncology, focusing on medical image analysis, treatment outcome prediction, and multi-modal data integration.

You will work with physicians, medical physicists, and engineers to develop rigorous, clinically meaningful methods that advance our product capabilities. You will lead experiments, validate results, and contribute to clinical validation studies and regulatory evidence.