(Senior) Scientist, Healthcare and MedTech Division, I2R
A*STAR RESEARCH ENTITIES
Singapore, Singapore
Not specified
Ph.d. in biomedical/health informatics or related field
Deep learning and machine learning for healthcare
Experience with large real-world health datasets
A*STAR Research Entities is seeking a (Senior) Scientist for their Healthcare and MedTech Division, focused on utilizing AI and machine learning to analyze real-world health data for applications in digital health and precision medicine. The ideal candidate will have a Ph.D. and significant experience in data science, machine learning, and large dataset handling, with strong programming skills and a collaborative mindset
Job Summary
The role focuses on advancing AI approaches using real-world health record datasets for digital health and precision medicine applications.
Successful candidates will interface unique real-world health datasets with cutting-edge AI technologies to drive clinical translation targets.
The position entails working in a highly interdisciplinary R&D team collaborating with clinicians, public health experts, and government entities.
Matching Summary
Match Score: 85
A*STAR Research Entities is seeking a (Senior) Scientist for their Healthcare and MedTech Division, focused on utilizing AI and machine learning to analyze real-world health data for applications in digital health and precision medicine. The ideal candidate will have a Ph.D. and significant experience in data science, machine learning, and large dataset handling, with strong programming skills and a collaborative mindset.
Skills & Requirements
Must-have
Ph.D. in Biomedical/Health Informatics or related field
Deep learning and machine learning for healthcare
Experience with large real-world health datasets
Strong programming skills in Python, R, or Java
Track record of publications in leading venues
Nice-to-have
Experience with clinical translation and implementation
Knowledge of biomedical knowledge representations
Familiarity with MLOps and DevOps pipelines
Cross-disciplinary collaboration experience
Exposure to cloud-based data engineering environments
Key Requirements
8 years post-PhD experience required
Ph.D. in Computer Science, Statistics, or Biomedical Engineering
Demonstrated research expertise in at least two specified areas
Strong computational background and quantitative skills