(Sr) Asst Manager / Manager, Office of CMIO (2-Year Contract)

National University Hospital; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading university hospital in Singapore is seeking a Data Analyst to lead data initiatives that transform healthcare delivery through advanced analytics. The analyst will establish data-driven decision-making processes while collaborating with clinical teams to improve patient care. Key qualifications include a degree in a quantitative field and proficiency in programming languages like Python and R. This role offers a unique opportunity to contribute to innovative healthcare solutions through data analytics.

Qualifications

• Minimum 2 years experience in healthcare analytics or related field.
• Demonstrated experience developing and deploying LLM applications.
• Advanced proficiency in programming languages such as Python, R, and SQL.

Responsibilities

• Lead the development and implementation of data analytics strategies.
• Design and maintain automated data pipelines and ETL processes.
• Ensure compliance with data governance guidelines.

Skills

Data Analytics

Statistical Techniques

Programming (Python, R, SQL)

Data Visualisation Tools

Machine Learning

Education

Bachelor's degree in a quantitative discipline

Master’s degree preferred

Tools

Tableau

Power BI

AWS

Docker

Kubernetes

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.

Position Purpose

The Job Holder will lead strategic data initiatives to transform healthcare delivery through advanced analytics, supporting the department's vision of an innovative intersection between Complex Care, Population Health, and Artificial Intelligence. This role will establish and drive data‑driven decision‑making processes, working closely with clinicians and operational teams to improve patient care outcomes and operational efficiency. As part of a dynamic team of Data Analysts, Data Scientists, and Software Developers, the Analyst will collaborate with clinicians to propose, develop, and implement advanced artificial intelligence and machine learning models that augment clinical workflows in NUH. Using a data‑driven approach, they will engage in rapid prototyping and continuous iteration to improve care delivery for NUH’s patients, ensuring the adequacy and effectiveness of developed models and tools in line with NUH’s mission and vision. The Analyst is also responsible and accountable for the associated data and databases, applying proper data governance and protection practices throughout all initiatives.

Key Responsibilities

• Data Analytics
  • Lead the development and implementation of comprehensive data analytics strategies
  • 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
  • Provide advanced analytics support for clinical research and quality improvement initiatives (e.g. outcomes of clinical care and community care for chronic conditions such as diabetes, kidney disease and asthma)
  • Develop predictive models and implement machine learning solutions including LLMs
  • Partner with clinical teams to integrate PROMs into care workflows
  • Collaborate with GTO and AIO for enhanced data visibility and accessibility
  • Design and implement LLM‑powered solutions for care pathway optimisation
• Data Quality & 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 visualisations are intuitive and accessible for non‑technical audiences
  • Collaborate with teams across the organisation to understand their data needs
• Data Governance & Protection
  • Ensure compliance with NUHS Data Governance Guidelines and relevant healthcare regulations
  • Implement robust data security measures and access controls
  • Oversee data quality management and standardisation
  • Manage data privacy requirements including PDPA and HBRA compliance
  • Establish protocols for secure data sharing and collaboration
  • Ensure responsible AI implementation and LLM usage
• Other Duties
  • Any other duties assigned by Reporting Officer

Key Requirements

• Bachelor's degree in a quantitative discipline (Computer Science, Mathematics, Data Analytics, Data Science, Statistics or related field); master’s degree preferred
• Minimum 2 years experience in healthcare analytics or related field
• Demonstrated experience developing and deploying LLM applications in production environments with GitHub portfolio showcasing LLM/AI agent projects and clear documentation of role and contributions
• Hands‑on experience building agentic AI systems beyond academic coursework with evidence of real‑world implementation through public repositories, deployed applications, or detailed project case studies
• Advanced proficiency in programming languages such as Python, R, and SQL
• Experience with data visualisation tools such as Tableau, Power BI and TIBCO Spotfire
• Experience with cloud‑based analytic platforms preferably Databricks
• Experience with statistical techniques and data mining methods, such as correlation analysis, predictive modelling, A/B testing, and time series forecasting
• Experience in implementing and fine‑tuning AI models, including knowledge of LLMs and their applications in healthcare
• Experience with cloud computing platforms, particularly AWS
• Proficiency in containerisation technologies including Docker and Kubernetes
• Experience with web development frameworks including Streamlit, NextJS, and TypeScript
• Proficiency in FastAPI or equivalent REST API frameworks
• Knowledge of database concepts and experience with database management tools such as SQLAlchemy
• Experience in handling large datasets is a plus
• Proficiency in Git version control and collaborative development
• Strong understanding of CI/CD and DevSecOps practices
• Strong understanding of healthcare systems and medical terminology
• Proven track record in stakeholder management and project delivery