Research Assistant/Associate (CIRC)

Location: YONG LOO LIN SCH OF MEDICINE, Kent Ridge Campus, SG

Company: National University of Singapore

Job Description

The National University of Singapore invites applications for Research Assistant/Research Associate in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre, equipped with on-site capability for the preparation of diagnostic and therapeutic radiopharmaceuticals in a modern GMP-certified facility. CIRC supports both academic and commercially led clinical research programs, with dedicated clinical imaging facilities and advanced modalities of PET-CT and PET-MRI. Appointments will be made on a two-year contract basis with the possibility of extension.

Purpose of the post

We are seeking a highly skilled and innovative Research Assistant/Research Associate with specialisation in Medical Image Analytics to join our team to usher in the next era of automated analysis of multi-modal biomedical images by integrating image processing and computer vision technologies into bio-imaging problems.

The successful candidate will join the Image/signal processing team and support the research performed at the Clinical Imaging Research Centre, NUS, Singapore. The work involves design, analysis, implementation, integration, and visualization of a wide range of biomedical image-processing activities for MR, CT, PET, and Optical modalities. This position will focus on multi-modal image analysis, registration, segmentation, dynamic modelling, and visualization. The candidate must have proficiency in image registration, visualization of bio-imaging data, and a strong background in data analytics, artificial intelligence, and statistical analysis, coupled with proficient programming skills.

Main Duties and Responsibilities

The Research Assistant/Research Associate will be able to perform the following:

• Algorithm Development: Design and develop advanced AI and machine learning algorithms for medical image analysis, including image segmentation, registration, and classification.
• Data Analytics: Apply data analytics techniques to process and analyze large volumes of medical imaging data, extracting meaningful insights to support clinical decision-making.
• Statistical Analysis: Conduct rigorous statistical analyses to validate and interpret the results of image analytics, ensuring robustness and reliability.
• Software Development: Develop and maintain software tools and pipelines for the automated processing and analysis of medical images.
• Collaborative Research: Work closely with cross-functional teams, including radiologists, clinicians, and researchers, to understand requirements, gather feedback, and refine analytical methods.
• Technical Documentation: Document algorithms, processes, and results in a clear and concise manner, facilitating knowledge transfer and reproducibility.
• Stay Current: Keep abreast of the latest developments in medical imaging, AI, and data analytics, incorporating new techniques and methodologies into existing workflows.

Qualifications

• Education: Master’s or bachelor’s degree in computer science, Biomedical Engineering, Electrical Engineering, Data Science, or a related field.
• Experience: 1+ years of experience in medical image analysis, data analytics, and AI.
  • Demonstrated experience with image processing techniques and tools (e.g., ITK, VTK, OpenCV).
  • Implementation of various deep learning models.
  • Proficiency in statistical analysis and statistical software (e.g., R, SAS, MATLAB).
• Technical Skills:
  • Strong programming skills in languages such as Python, R, and MATLAB.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
  • Excellent problem-solving abilities and a strong analytical mindset, with the ability to interpret complex data and generate actionable insights.
  • Effective communication skills, both written and verbal, with the ability to present technical information to a non-technical audience.
  • Ability to work collaboratively in a multidisciplinary team environment, managing multiple projects simultaneously.

Preferred Qualifications

• Experience in deep learning techniques for medical image analysis (e.g., convolutional neural networks, UNets, Transformers, GANs).
• Knowledge of medical imaging modalities (e.g., MRI, CT, PET) and DICOM standards.
• Background in healthcare and clinical applications of medical imaging.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations, and full contacts of three (3) referees) to this job portal.

We regret that only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department: Dean-Med-Clinical Imaging Research Centre