AI Medical Research Assistant

2 weeks ago

Singapore beBeeArtificialIntelligence Full time $80,000 - $120,000

Job Summary:

We are seeking a highly skilled and motivated AI Medical Research Assistant to join our team. The successful candidate will play a key role in pioneering research on medical image processing, medical visual technology, and large language models.

Key Responsibilities:

  • Design and implement AI algorithm models to analyze multimodal medical datasets for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
  • Explore and develop the application of large-scale pre-trained models in medical scenarios, including intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
  • Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
  • Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
  • Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
  • Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.

Requirements:

  • Bachelor degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
  • Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
  • A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
  • Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
  • Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
  • Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.

About Us:

This position plays a pivotal role in our overarching mission to leverage technology to enhance healthcare outcomes and propel us to the forefront of medical advancements.

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