The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description

We are seeking a data scientist with expertise in Statistics, Machine Learning, R and Python. The role involves developing and applying advanced machine learning techniques to integrate complex clinical, wearable, and population datasets, with a focus on building scalable and reproducible predictive models that can support early risk detection and policy-relevant insights.

Job Responsibilities

• Developing and applying advanced machine learning and Bayesian methods to integrate complex clinical, wearable, and population datasets
• Experience with large public health data environment, cloud computing, trajectory modelling, causal inference, and clinical prediction modelling to generate data-driven pattern will be an advantage
• Building scalable and reproducible predictive models that can support early risk detection
• Develop risk scores in subsets of populations
• Able to follow strict timelines of intermediate outcomes of the project.

Job Requirements

• A Ph.D. degree in Data Science, Mathematics, Statistics, Computer Science, Physics or related areas from a recognized university. Minimum 1 year of experience.
• Research expertise in machine learning, timeseries analysis, patterns in longitudinal smart wearables data, causal analysis, prediction models and risk analysis in clinical data would be an advantage.
• Advanced quantitative research skills.
• Proficiency with R, Python
• Experience in cloud and HPC environments
• Publication record in areas related to the above-specified research areas.
• Excellent written and spoken communication skills.
• Strong organizational skill and interpersonal skill.