Senior AI Research Scientist

• Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of R&D experience in medical imaging, computer vision, or machine learning, with a proven track record of developing AI solutions.
• Expertise in deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Advanced knowledge of Python and C++ for implementing AI solutions.
• Demonstrated experience with large-scale data processing and managing complex datasets.
• Experience with medical imaging datasets (e.g., DICOM, mammography, CT, MRI) is highly preferred.
• Solid understanding of AI model validation techniques, regulatory requirements (e.g., FDA 510(k)), and experience working in a healthcare environment.
• Strong publication history in top-tier conferences and journals, showcasing original research.
• Strong communication skills, with the ability to present complex research results to technical and non-technical stakeholders.
• Excellent analytical, organizational, and communication skills with the ability to present complex ideas clearly.
• A proactive team player, capable of working independently while contributing to cross-functional teams.
• Ability to generate patentable ideas and contribute to intellectual property development.
• Experience with explainable AI (XAI) and model interpretability in medical applications.
• Familiarity with cloud platforms (Google Cloud, AWS) and deploying AI solutions in cloud environments.
• Knowledge of biostatistics, healthcare regulations, and clinical workflows.
• Experience working in cross-functional teams and fast-paced R&D environments.

LOCATION:

Full Remote.

Originally posted on Himalayas