Job Description

Theia Health specializes in AI-powered automation of coronary CT scan analysis, aiming to accelerate and improve coronary artery disease detection, staging, and monitoring, particularly in the ASEAN region.

Join a cutting-edge team at the intersection of artificial intelligence and healthcare. As a Research Engineer, you'll develop and implement advanced AI algorithms to analyse medical images, improve diagnostic accuracy, and support clinical decision-making.
Key Responsibilities

• Design and develop machine learning and deep learning models for medical image analysis (e.g., CT, MRI, X-ray, ultrasound)
• Preprocess and annotate medical imaging datasets
• Collaborate with clinicians, radiologists, and data scientists to define research goals and validate results
• Implement and optimize image segmentation, classification, and detection algorithms
• Contribute to the deployment of AI models into clinical workflows or cloud-based platforms
• Stay current with the latest research in AI, computer vision, and medical imaging.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field (students and interns are encouraged to apply).
• Proficient programming skills in Python (C++ experience is a plus).
• Hands-on experience with PyTorch.
• Strong problem-solving abilities and excellent communication skills.
• Capable of working independently as well as within cross-functional teams.
• Familiarity with human anatomy, image processing techniques, and medical imaging modalities (a plus).
• Exposure to federated learning, explainable AI, or regulatory frameworks (e.g., FDA, CE) is advantageous.
• Knowledge of cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a bonus.
• Must be able to commit for at least 8 months.
• This position is open only to candidates based in Singapore.

Application Instructions
Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.