Senior Assistant Manager / Manager, Office of CMIO (Data Science, 2-Year...

National University Hospital; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

The National University Hospital (NUH) seeks a Data Scientist with hands-on experience in building AI applications in healthcare. You will design, deploy, and monitor LLM-powered solutions that improve patient care and operational efficiency, working closely with clinicians and IT teams.

Responsibilities include data preprocessing, building end-to-end pipelines, implementing data governance, and ensuring secure, compliant AI deployments in production environments.

Qualifications

• Proficiency in Python/R/SQL for data analysis and model implementation.
• Experience deploying AI/LLM solutions in production, with documentation of contributions.
• Strong understanding of data governance, security, and ethics in healthcare.

Responsibilities

• Lead design, development and deployment of LLM-powered AI solutions for clinical and operational use.
• Build and maintain data pipelines, prompts, and monitoring for AI deployments.

Skills

Python

SQL

R

Data visualization

Education

Bachelor's degree in Data Science/CS/Statistics

Master's degree preferred

Tools

AWS

GitHub

LLM APIs

CI/CD

Job description

Career in the Hospital

Join our incredible team at the National University Hospital (NUH), where we believe that a hospital is more than just a workplace. Every day, we witness the remarkable impact that our healthcare professionals can have on individuals, families, and entire communities.

At NUH, we are driven by a shared purpose - to lend a helping hand to those in need, to be a source of support and healing, and to empower patients to live their best lives.

We are looking for passionate and committed individuals to join us as we transform lives and create a lasting impact in the lives of our patients. The impact you make at NUH will be profound, regardless of the role you take up in the hospital.

About NUH

The National University Hospital (NUH) is Singapore's leading university hospital, with a proud heritage dating back to 1905 with the establishment of what's now the NUS Yong Loo Lin School of Medicine. Our strong ties with the medical school have shaped us into a unique institution, allowing us to seamlessly integrate clinical care with teaching and research. As a university hospital, we go beyond the realm of providing tertiary medical care. We are a hub of knowledge and innovation, attracting healthcare professionals who are passionate about pushing boundaries and making significant contributions to the field.

About Department and Purpose of the Position

The Job Holder will be part of a dynamic team of Data Analysts, Data Scientists, and Software Developers working at the innovative intersection of Complex Care, Population Health, and Artificial Intelligence. Working closely with clinicians and operational teams, they will research, develop, and deploy advanced AI applications and solutions that drive meaningful improvements in patient care outcomes and operational efficiency at NUH.

The Job holder will take ownership of the end-to-end AI application development lifecycle - from problem framing and exploratory analysis through to application development, deployment, and monitoring in production environments. They will apply their knowledge of application development, large language models and AI frameworks to complex healthcare landscape, translating clinical & operational constraints into scalable, evidence-based solutions. The role also involves close collaboration with different service team to ensure AI applications are integrated seamlessly.

The Job Holder is also responsible for the integrity and security of application developed, applying proper data governance and protection practices across all initiatives in line with NUH's mission and vision.

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 NUHS 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; Master's degree preferred
• Minimum 2 years of experience in data science or a related field, with exposure to healthcare environments preferred
• Demonstrated experience developing and deploying LLM applications in production environments, with a GitHub portfolio showcasing LLM/AI agent projects and clear documentation of role and contributions
• Hands-on experience building agentic AI systems beyond academic coursework, evidenced through public repositories, deployed applications, or detailed project case studies
• Advanced proficiency in Python, R and/or SQL
• Experience integrating and working with pre-built AI/ML models and LLM APIs in application development contexts
• Experience with cloud computing platforms, particularly AWS
• Strong understanding of CI/CD, MLOps, and DevSecOps practices
• Strong analytical and problem-solving skills with the ability to translate clinical / operation contraints into AI application solutions
• Strong communication, presentation, and interpersonal skills, with the ability to convey complex findings to non-technical audiences
• Team player with a positive attitude and ability to work within deadlines
• Ability to work independently and collaboratively in a fast-paced environment
• Strong understanding of healthcare systems
• Proven track record in stakeholder management and project delivery
• Strong attention to detail and rigour in application development and deployment
• AWS Certified Cloud Practitioner certification or higher (e.g. AWS Certified Solution Architect, AWS Certified Developer, or equivalent AWS certification) is required for system access and the performance of the role. Candidates who are not yet certified may still apply but will be required to obtain the certification before commencement of employment, if shortlisted

Closing & Applications

When you join NUH, you become part of a dynamic and collaborative environment where expertise, knowledge, and compassion all come together.

Working in healthcare offers satisfaction that extend far beyond the ordinary. The smiles of gratitude from patients and the profound sense of fulfilment that comes from helping others cannot be measured. It is a career that allows for both personal and professional growth. The challenges you encounter in this rapidly evolving industry push you to constantly expand your knowledge and skills, as well as encourage lifelong learning.

Be a part of a team that gets to create a transformative healthcare experience for our patients and professionals alike.