Overview

Reporting to the Deputy Group Chief Technology Officer of NUHS GCTO, you will support development work for the department for NUHS GCTO under the data analytics team to ensure that all data analyst work related to the dashboard creation and enhancements are done in a timely fashion. The incumbent will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster.

Key Responsibilities

You will be responsible for the following:

Clean and preprocess data to ensure accuracy, consistency, and completeness.
Apply statistical techniques and data mining methods to explore and analyze large datasets.
Identify meaningful patterns, trends, and correlations in the data.
Develop and implement data models, algorithms, and visualizations to present findings
effectively.
Prepare and deliver clear and concise reports, dashboards, and presentations to
communicate analytical findings to stakeholders.
Collaborate with teams across the organization to understand their data needs and provide analytical support.
Ensure data visualizations are intuitive, visually appealing, and easy to understand for non-technical audiences.
Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.
Monitor data integrity over time and proactively identify and address any data issues or anomalies.
Calsense+ Dashboard development and maintenance which also includes

Training for all users to access into Calsense+ Dashboard
Lead all UAT and SIT for Calsense+ related Dashboard training on ground

Requirements

Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
Strong analytical and problem-solving skills, with the ability to translate complex data into

actionable insights.

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data

manipulation, analysis, and visualization.

Familiarity with statistical techniques and data mining methods.
Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and

visually appealing dashboards and reports.

Knowledge of database concepts and experience working with large datasets.(Good to Have)
Strong attention to detail and ability to handle and analyze data accurately.
Excellent communication and presentation skills to effectively convey analytical findings to

both technical and non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced environment
Dashboard creation experience with Quicksight in AWS or Spotfire in Tibco is a must
Any other tasks assigned by the Reporting Officer

Assistant Manager, Artificial Intelligence Office (1-yr contract)