Scientist in Medical Imaging Development

4 days ago

Singapore beBeeResearch Full time
Senior Research Developer

The position requires an individual with expertise in building a generalizable and interactive 3D medical image segmentation model to significantly boost clinical efficiency.

This role is part of an active research team led by Associate Prof SUN Qianru from School of Computing and Information Systems, Singapore Management University.

  • Design, implement, and iteratively improve the three core imSAM components within a unified 3D medical-image framework.
  • Generate large-scale synthetic MRI, CT, and X-ray datasets; coordinate secure access to real clinical data; and enforce data-privacy protocols and anonymization standards.
  • Plan rigorous ablation studies and cross-modality benchmarks, assessing generalization across organs (e.g., liver, tumor, kidney) and imaging modalities; track performance metrics and error analysis for both common and rare conditions.
  • Interface with radiologists and surgeons to collect expert prompts, refine interactive workflows, and translate feedback into model or UI improvements that enhance real-time segmentation usability.
  • Lead paper preparation, conference presentations, open-source releases, and assist the PI with progress reports, grant milestones, and future funding proposals linked to imSAM's roadmap.

Qualifications:

  • Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on deep-learning based AI technology.
  • Minimum 5 years of relevant research experience in deep learning, multimodal data processing (especially visual data processing), and domain generalization.
  • Proficiency in programming software/languages such as PyTorch and TensorFlow will be positively considered/required.
  • Proven track record and professional experience in deep learning and computer vision.
  • Demonstrated experience and know-how on interactive AI techniques in multi-modality data.
  • Ability to break down complex problems and design effective solutions.
  • Innovating new approaches and thinking outside the box.
  • Applicants with research publications in machine learning and computer vision areas will be advantageous.
  • Ability to work cooperatively as part of a small, agile academic research team is essential.
  • Self-motivated individual who can work independently and collaboratively with team members.

Benefits:

  • Work in an innovative research environment.
  • Contribute to cutting-edge research projects.
  • Collaborate with experienced researchers.

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