Deskripsi Pekerjaan
Join the Institute for Infocomm Research (I2R) at A*STAR and be at the forefront of digital healthcare innovation in Singapore. As a Senior Research Engineer, you will play a pivotal role in developing cutting-edge AI and Machine Learning solutions that bridge the gap between complex healthcare data and actionable clinical insights.
We are seeking a highly skilled engineer to join our interdisciplinary team. You will leverage large-scale datasets to build robust Medtech applications, optimizing diagnostic accuracy and patient outcomes. If you are passionate about using data science to solve real-world medical challenges and thrive in a research-intensive environment, this is your opportunity to drive systemic change in the healthcare industry.
Tanggung Jawab
- Design, develop, and deploy advanced machine learning models for healthcare-related diagnostics and predictive analytics.
- Collaborate with clinicians and research scientists to translate medical requirements into scalable technical architectures.
- Engineer and preprocess high-dimensional healthcare datasets, ensuring data integrity and compliance with privacy standards.
- Architect end-to-end data pipelines to support real-time monitoring and medical data processing.
- Contribute to the research lifecycle, including literature review, prototype design, and publication of technical findings.
- Mentor junior engineers and promote best practices in software engineering and AI research.
- Manage end-to-end project deliverables, ensuring alignment with A*STAR’s strategic research objectives.
Kualifikasi
- Master’s or PhD degree in Computer Science, Data Science, Biomedical Engineering, or a related quantitative field.
- Minimum 5 years of experience in AI, Machine Learning, or Deep Learning research and development.
- Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow.
- Solid understanding of medical imaging, electronic health records (EHR), or clinical signal processing.
- Experience in deploying scalable AI models in a cloud or high-performance computing (HPC) environment.
- Strong background in statistical analysis and data visualization tools.
- Excellent communication skills with the ability to bridge the communication gap between technical teams and medical professionals.