Senior AI Scientist, Healthcare & Precision Medicine

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading research organization in Singapore is seeking a motivated Research Scientist to work on advancing AI methods for health record analysis. This role entails combining cutting-edge AI technologies with real-world health datasets to enhance precision medicine. Applicants should have a Ph.D. in relevant fields and experience in machine learning, deep learning, and healthcare applications. A strong programming background is essential, along with the ability to work collaboratively within interdisciplinary research teams. Opportunities to impact population-scale healthcare are significant.

Qualifications

• Strong computational background with large real-world datasets.
• Proven research expertise in multiple areas relevant to the position.
• 2-4 years post-PhD experience in applied health informatics projects.

Responsibilities

• Execute R&D projects related to digital health and AI.
• Interface real-world health datasets with AI technologies.
• Draft proposals and scope projects in collaboration with various stakeholders.

Skills

Deep learning / machine learning for healthcare applications

Data engineering and data science

Natural language processing / text mining

Strong programming abilities

Quantitative skills

Agility in dynamic project environments

Education

Ph.D. in Biomedical/Health Informatics or related fields

Tools

Python

SAS

Tableau

TensorFlow

Jupyter notebooks

Job description

A leading research organization in Singapore is seeking a motivated Research Scientist to work on advancing AI methods for health record analysis. This role entails combining cutting-edge AI technologies with real-world health datasets to enhance precision medicine. Applicants should have a Ph.D. in relevant fields and experience in machine learning, deep learning, and healthcare applications. A strong programming background is essential, along with the ability to work collaboratively within interdisciplinary research teams. Opportunities to impact population-scale healthcare are significant.