Senior/ Executive, Healthcare Data Science HCY

recruit express pte ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Recruit Express Pte Ltd is seeking an experienced AI Solutions professional to lead the development of LLM-based and agentic AI solutions for healthcare applications. The role focuses on building data pipelines, prompt engineering, and RAG-enabled systems to improve clinical and operational outcomes.

The candidate will work across data quality, governance, and integration with clinical platforms, delivering explainable AI solutions and monitoring frameworks for performance and compliance.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline.

Responsibilities

• Lead the research, design, and deployment of LLM-based and agentic AI solutions to address clinical and operational challenges.
• Design and maintain automated data pipelines and prompt engineering workflows to support LLM application development.
• Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness for retrieval-augmented generation (RAG) pipelines.
• Apply advanced natural language processing methods to explore and extract insights from large healthcare datasets.
• Develop and deploy LLM-powered applications and agentic AI systems, including multi-agent orchestration frameworks.
• Design and implement LLM-powered solutions for care pathway optimisation, clinical decision support, and automated documentation.
• Provide advanced AI development support for clinical research and quality improvement initiatives.
• Collaborate with GTO and AIO for integration of LLM solutions with existing clinical platforms and data infrastructure.
• Develop application performance monitoring frameworks and explainability outputs to assess solution effectiveness and communicate findings clearly to non-technical clinical and operational audiences.
• Monitor data integrity through systematic validation and quality checks.
• Identify patterns, trends, and correlations in healthcare data.
• Prepare clear reports and intuitive visualisations for both technical and non-technical stakeholders.
• Collaborate across teams to understand and address data needs.
• Ensure compliance with Data Governance Guidelines, PDPA, HBRA, and relevant regulations.
• Implement data security measures, access controls, and secure data-sharing protocols.
• Process database access and data extraction requests, including anonymisation.
• Ensure responsible and ethical AI/LLM implementation.
• Any other duties assigned by Reporting Officer.
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline.

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline

Job description

Key Responsibilities

AI Solution Development

• Lead the research, design, and deployment of LLM-based and agentic AI solutions to address clinical and operational challenges
• Design and maintain automated data pipelines and prompt engineering workflows to support LLM application development
• Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness for retrieval-augmented generation (RAG) pipelines
• Apply advanced natural language processing methods to explore and extract insights from large healthcare datasets
• Develop and deploy LLM-powered applications and agentic AI systems, including multi-agent orchestration frameworks
• Design and implement LLM-powered solutions for care pathway optimisation, clinical decision support, and automated documentation
• Provide advanced AI development support for clinical research and quality improvement initiatives
• Collaborate with GTO and AIO for integration of LLM solutions with existing clinical platforms and data infrastructure
• Develop application performance monitoring frameworks and explainability outputs to assess solution effectiveness and communicate findings clearly to non-technical clinical and operational audiences

Data Quality and Monitoring

• Monitor data integrity through systematic validation and quality checks
• Identify patterns, trends, and correlations in healthcare data
• Prepare clear reports and intuitive visualisations for both technical and non-technical stakeholders
• Collaborate across teams to understand and address data needs

Data Governance and Protection

• Ensure compliance with Data Governance Guidelines, PDPA, HBRA, and relevant regulations
• Implement data security measures, access controls, and secure data-sharing protocols
• Process database access and data extraction requests, including anonymisation
• Ensure responsible and ethical AI/LLM implementation

Other Duties

• Any other duties assigned by Reporting Officer

Key Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline