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

National University Polyclinics

Singapore

On-site

SGD 60,000 - 80,000

Full time

8 days ago

Job summary

A leading healthcare institution in Singapore seeks a (Sr) Assistant Manager / Manager to lead data analytics initiatives and support healthcare transformation through advanced analytics. The ideal candidate will have a Bachelor's degree in a quantitative discipline, strong leadership skills, and proficiency in programming languages. Join a dynamic team committed to improving patient care through data-driven decision making.

Qualifications

  • Minimum 2 years' experience in healthcare analytics or related field.
  • Experience with data visualisation tools such as Tableau and Power BI.
  • Experience in implementing and fine-tuning AI models, including knowledge of LLMs.

Responsibilities

  • Lead the development and implementation of comprehensive data analytics strategies.
  • Monitor data integrity through systematic validation processes.
  • Ensure compliance with data governance guidelines.

Skills

Data Analytics
Leadership
Programming (Python, R, SQL)
Data Visualisation
AI & Machine Learning

Education

Bachelor's degree in quantitative discipline
Master's degree preferred

Tools

Tableau
Power BI
AWS
Docker
Kubernetes

Job description

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(Sr) Asst Manager / Manager, Office of CMIO (Data Analyst, 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 field

At least 2-3 years of leadership experience is preferred

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.

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