Research Fellow

Join us in shaping the future of healthcare through AI-driven innovation.
We are seeking a passionate and talented Research Fellow or Research Associate to lead cutting-edge projects that harness artificial intelligence and advanced analytics to transform clinical decision-making and improve patient outcomes.

Healthcare is evolving rapidly, and data is at the heart of this transformation. In this role, you will work at the intersection of Primary care & Population Health and Artificial Intelligence, driving initiatives that make care smarter, faster, and more personalized. We aim to directly impact patient lives and operational efficiency in one of Singapore’s major healthcare institutions.

1. Data Analytics support

Design and implement advanced machine learning models, including LLM-powered solutions, to optimize clinical workflows and care pathways. This includes the following:

• Design and maintain automated data pipelines and ETL processes
• Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness
• Apply advanced statistical techniques and data mining methods to explore large healthcare datasets
• Create and manage interactive dashboards and analytical tools with focus on intuitive visualisation for non-technical audiences
• Develop predictive models
• Develop agentic AI solutions for care pathway optimisation
• Partner with clinical teams to integrate AI models into care workflows

2. Data Quality and Monitoring

• Monitor data integrity through systematic validation processes
• Identify and analyze meaningful patterns, trends, and correlations in healthcare data
• Develop and implement data quality checks and validation processes
• Prepare and deliver clear and concise reports and presentations to stakeholders
• Ensure data visualizations are intuitive, visually appealing, and easy to understand for non-technical audiences.
• Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.
• Monitor data integrity over time and proactively identify and address any data issues or anomalies.

Skills and Qualifications:

• PhD degree in a quantitative discipline (Computer Science, Mathematics, Data Analytics, Data Science, Statistics or related field)
• 3-5 years experience in data science or analytics role
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.
• Familiarity with statistical techniques and data mining methods.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and visually appealing dashboards and reports.
• Knowledge of database concepts and experience working with large datasets (good to have)
• Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders.