There are multiple AI Research Scientist-Medical Imaging Analysis positions availableat EDDA Technology, Princeton, NJ. Responsibilities include:

• Design, implementation, and verification of deep learning algorithms for 3D and 2D segmentation and registration problems on medical images;
• Define, develop and validate clinical solutions;
• Lead and conduct extensive AI research to develop new methodologies and technologies related to Medical Imaging;
• Design experiments and prototypes to test the viability and efficiency of new AI models;
• Fast prototyping of image and video analysis product modules;
• Stay updated with the latest AI research and advancements;
• Collaborate closely with clinical customers to solve real-world problems;
• Conforming to the Company’s standard/procedure of product development;
• Efficiently communicating with project managers and team members on the execution;
• Other job responsibilities as assigned by the management.

Candidates shall meet part of the below qualifications:

• Strong background in Artificial Intelligence, Machine Learning, Deep Learning and/or Medical Image Analysis;
• Coding skills and ability to quickly prototype Deep Learning models is a must;
• Experience and skills in working with deep reinforcement learning (deep RL) is a must;
• Strong algorithm development skills with in-depth knowledge on medical image analysis/segmentation, image registration, computer vision, deep learning, real-time processing, and GPU programming;
• 3+ years of experience in the related fields preferred, with excellent software engineering skills in using C/C++; Other software skills preferred include Python, Pytorch, Tensor Flow, and Keras;
• Experience and skills in working with large language models (LLMs), large vision models (LVMs), and natural language processing (NLP);
• Strong problem-solving skills with quick implementation and verification; Strong team player and highly self-motivated individual with desire and ability to learn quickly;
• Written and verbal communication skills in English are required;
• PhD in AI/ML/CE/EE/CS/Bio-Engineering.

DESIRED QUALIFICATIONS:

• Knowledge in human anatomy and interpretation of medical images a plus;
• Hands-on experience and knowledge in DICOM a plus;
• Experience in processing ultrasound images a plus.

• Design, implementation, and verification of deep learning algorithms for 3D and 2D segmentation and registration problems on medical images;
• Define, develop and validate clinical solutions;
• Lead and conduct extensive AI research to develop new methodologies and technologies related to Medical Imaging;
• Design experiments and prototypes to test the viability and efficiency of new AI models;
• Fast prototyping of image and video analysis product modules;
• Stay updated with the latest AI research and advancements;
• Collaborate closely with clinical customers to solve real-world problems;
• Conforming to the Company’s standard/procedure of product development;
• Efficiently communicating with project managers and team members on the execution;
• Other job responsibilities as assigned by the management