Computing Science Intern

1 day ago

Singapore Theia Health Pte. Ltd. Full time

Company

Theia Health Pte. Ltd.
- theiahealth.io

Designation

Computing Science Intern

Date Listed

17 Sep 2025

Job Type

Entry Level / Junior Executive
- Intern/TS

Job Period

Immediate Start - May 2026

Profession

Healthcare / Pharmaceutical / Sports

Industry

Healthcare / Fitness / Sports

Location Name

10 Hospital Boulevard, Singapore

Address

10 Hospital Blvd, Singapore 168582

Map

Allowance / Remuneration

$1,500 monthly

Company Profile

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.

**Job Description**:
Join a cutting-edge team at the intersection of artificial intelligence and healthcare. As a Computing Science Intern, you’ll develop and implement advanced AI algorithms to analyse medical images, improve diagnostic accuracy, and support clinical decision-making.

Key Responsibilities
- Contribute to the design, development, and testing of MedClarity’s software modules.
- Assist in developing and refining AI/ML models for cardiac CT image analysis.
- Support data preprocessing, annotation, and pipeline optimization for imaging datasets.
- Perform software verification and validation testing in alignment with medical device standards (ISO 13485, IEC 62304).
- Collaborate with team members on debugging, code reviews, and performance optimization.
- Prepare technical documentation to support regulatory submissions and internal processes.

Required Skills & Qualifications
- Currently pursuing a degree in Computer Science, Software Engineering, Data Science, or related field.
- Proficiency in Python (experience with libraries such as NumPy, pandas, PyTorch, TensorFlow, or OpenCV is a plus).
- Familiarity with version control systems (e.g., Git).
- Understanding of machine learning, computer vision, or medical imaging concepts is advantageous.
- Strong problem-solving, communication, and teamwork skills.
- 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.**:
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