Machine Learning jobs in United States

Job ID: 8176

Job Function: Administration

Institution: National University Health System

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

• 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 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 understandable for non-technical audiences.
• Develop and implement data quality checks and validation processes to ensure data integrity.
• Monitor data integrity over time and address any data issues or anomalies proactively.
• Calsense+ Dashboard development and maintenance, including:
  • Training users to access the Calsense+ Dashboard.
  • Leading all UAT and SIT for Calsense+ related Dashboard training.

• 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).
• Familiarity with statistical techniques and data mining methods.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of database concepts and experience with large datasets (preferred).
• Strong attention to detail and data accuracy.
• Excellent communication and presentation skills for technical and non-technical audiences.
• Ability to work independently and collaboratively in a fast-paced environment.
• Dashboard creation experience with Quicksight in AWS or Spotfire in Tibco is essential.
• Other tasks as assigned by the Reporting Officer.