Data Scientist (DDx), DxD Hub

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 65,000 - 85,000; Full time

Job summary

A leading research institute in Singapore is seeking an experienced Data Scientist to support diagnostics product development and data analytics for Software as a Medical Device. In this role, you will analyze healthcare-related data, develop algorithms, and ensure compliance with regulatory standards. The ideal candidate will have a PhD or Master’s degree, experience in AI development, and strong skills in machine learning and deep learning frameworks. This position offers a unique opportunity to contribute to innovative diagnostic solutions.

Qualifications

• PhD or Master’s degree in Biomedical Engineering, Mathematics, Statistics, Computer Science, Physics, or related field.
• 1–3 years of experience in AI development.
• Hands-on experience with Python and major deep learning frameworks.

Responsibilities

• Analyze healthcare related data for diagnostic applications.
• Develop and optimize algorithms for data analysis and visual recognition.
• Design experiments to validate model assumptions.

Skills

Data analysis

Machine learning

Deep learning

Computer vision

Python

TensorFlow

Communication skills

Education

PhD or Master’s degree in a quantitative field

Tools

PyTorch

Keras

Job description

DxD Hub is seeking an experienced Data Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in data science and Machine learning and deep learning is highly preferred.

Role & Responsibilities

• Analyze healthcare related data for diagnostic applications; define problems, hypotheses, and analysis plans.
• Develop and optimize algorithms for data analysis, synthesis, visual recognition, object detection, segmentation, and signal pattern recognition etc.
• Design, execute, and document experiments to validate model assumptions and performance in line with regulatory requirements.
• Conduct feasibility studies and support clinical/analytical validation of AI-based algorithms for diagnostic use.
• Explore and integrate cutting-edge technologies into diagnostic AI solutions, ensuring robustness, reproducibility, and compliance.
• Translate business and clinical needs into data science projects, aligned with regulatory and quality management requirements.
• Collaborate with cross-functional teams (R&D, QA/RA, clinical affairs) to ensure AI models meet regulatory standards. (FDA, CE-IVDR, HSA, etc.).
• Prepare and maintain technical documentation, including design history files (DHF), risk assessments, software development lifecycle (SDLC) deliverables, and regulatory submissions.
• Support model deployment under SaMD frameworks, including monitoring, version control, and post-market surveillance.
• Stay current with trends in AI for diagnostics, SaMD regulatory guidance, and international standards.

Requirements

• PhD or Master’s degree in a quantitative field (Biomedical Engineering, Mathematics, Statistics, Computer Science, Physics, or related).
• 1–3 years of relevant working experience in AI development.
• Solid background in computer vision, deep learning, and image/signal data analysis algorithms, LLM etc.
• Hands-on experience with Python and major deep learning frameworks (TensorFlow, PyTorch, Keras etc.) and LLM.
• Strong communication skills to explain technical insights to both technical and non-technical stakeholders.
• Ability to work independently within a regulated development environment.
• Model performance evaluation, deployment and lifecycle management experience (MLOps, monitoring, data drift management).