Job Description

Overview

Join the NUHS Group Chief Technology Office (GCTO) that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsbilities

• 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.

• 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.

National University Health System