Research Associate/Assistant

4 weeks ago

Singapore National University of Singapore Full time
Overview

Research Associate/Assistant (Biomedical Informatics) at National University of Singapore. We are seeking a passionate and skilled Research Assistant / Research Associate to join the NUS Division of Biomedical Informatics under Prof Ngiam Kee Yuan. You will work at the intersection of healthcare and artificial intelligence, developing transformer-based models and large language models (LLMs) to support applications in clinical decision-making, medical imaging, and drug discovery. This role offers the opportunity to work with rich, real-world healthcare data, including electronic health records (EHR) and medical images, to build AI tools with direct translational impact in the local healthcare system.

Responsibilities
  • Conduct research, design, and training of transformer-based and deep learning models for healthcare and biomedical applications.
  • Develop AI systems that integrate and analyze multimodal data, including electronic health records (EHRs), medical imaging, genomics, and clinical notes.
  • Contribute to drug discovery and development efforts using generative models, knowledge graphs, and advanced machine learning techniques.
  • Deploy machine learning models in hybrid cloud environments (on-premise and cloud) for both research and operational use.
  • Collaborate closely with software engineers and data scientists to build, test, and refine AI applications and prototypes.
  • Document model development processes, validation results, and deployment pipelines comprehensively to ensure reproducibility and transparency.
  • Assist in the preparation of research manuscripts, technical reports, grant proposals, and academic presentations.
  • Support and facilitate teaching activities related to biomedical informatics, AI in healthcare, and related educational initiatives, including lectures, workshops, and mentorship.
Qualifications
  • Master's degree in Bioinformatics, Computer Science, Biomedical Informatics, Statistics, or a related field. Exceptional candidates with a Bachelor's degree and strong relevant experience will also be considered.
  • Demonstrated hands-on experience in deep learning, particularly in domains such as natural language processing (NLP), medical imaging, or drug discovery.
  • Strong proficiency in Python, with experience using machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn.
  • Experience with large language model (LLM) fine-tuning, transformer-based architectures, or multimodal learning is a significant advantage.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Microsoft Azure) and the deployment of machine learning pipelines in hybrid or cloud environments.
  • Prior experience working with healthcare data, including structured electronic health records (EHRs), clinical notes, or medical imaging, is highly desirable.
  • Excellent analytical, problem-solving, and communication skills, with a strong emphasis on clear documentation and reproducibility.
  • Proven ability to work both independently and collaboratively within multidisciplinary research or engineering teams.
More Information
  • Location: Kent Ridge Campus
  • Organization: Yong Loo Lin School of Medicine
  • Department: Surgery
  • Employee Referral Eligible: No
  • Job requisition ID: 29803
Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Research, Analyst, and Information Technology
Industries
  • Higher Education, Education Administration Programs, and Strategic Management Services
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