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

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

Job summary

A leading university healthcare institution in Singapore is seeking a (Sr) Assistant Manager / Manager to lead data analytics initiatives, improve healthcare delivery, and support the department's vision. This role involves developing and implementing comprehensive data strategies, ensuring compliance with data governance, and working closely with clinical teams. Candidates should have a background in healthcare analytics, experience with AI and machine learning applications, and proficiency in Python, R, and SQL.

Qualifications

• Minimum 2 years' experience in healthcare analytics or related field.
• Hands-on experience building agentic AI systems beyond academic coursework.
• Demonstrated experience developing and deploying LLM applications.

Responsibilities

• Lead the development and implementation of comprehensive data analytics strategies.
• Design and maintain automated data pipelines and ETL processes.
• Ensure compliance with NUHS Data Governance Guidelines.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Education

Bachelor's degree in a quantitative discipline

Master's degree preferred

Tools

Tableau

Power BI

Databricks

Docker

Kubernetes

Job description

Overview

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

Job ID: 8486

Job Function: Administration

Institution: National University Hospital

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 lead strategic data initiatives to transform healthcare delivery through advanced analytics, supporting the department's vision of 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
• The role’s job scope and compensation may commensurate based on grade and experience.

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 fiel
• 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
• Strong analytical and problem-solving skills
• Strong communication, presentation, writing, and interpersonal skills
• Strong attention to detail and proven ability to handle and analyse data accurately
• Ability to translate business requirements into technical solutions
• Team player with a positive attitude and ability to work within deadlines
• Ability to work independently and collaboratively in a fast-paced environment

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.