Senior Executive, AI Lab - Healthcare

About the role

NHG is looking for a Senior Executive to join its AI Lab, which sits at the intersection of mathematics, statistics and computer science. The role extracts actionable insights from raw healthcare data through end-to-end data science work, from identifying data sources and acquiring them to cleaning, preprocessing, transforming and visualising them. It works closely with clinicians, engineers and stakeholders to turn data into clinical outcomes.

Key responsibilities

• Build scalable data science pipelines covering ingestion, preprocessing, feature engineering, model training and evaluation.
• Extract, clean, preprocess and transform large, complex raw data into structured, consistent datasets.
• Run exploratory data analysis and apply statistical methods and machine learning to forecast trends and solve healthcare problems.
• Build, train and test predictive models to automate decisions and forecast trends.
• Work with engineering and IT teams on data workflows, pipelines and system architecture, and support deployment of AI models in clinical environments.
• Document methodologies, model design, validation and results, and prepare reports, dashboards and presentations for technical and non-technical audiences.
• Contribute to research, publications and intellectual property, and explore new use cases for analytics in clinical workflows.

Required profile

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics or a related field; a Master's degree or higher is a plus.
• Experience developing end-to-end data science or machine learning solutions.
• Healthcare analytics, medical data or clinical systems experience is advantageous; fresh graduates with strong technical skills may be considered for junior roles.

Required skills

• Programming in Python or R.
• SQL and data manipulation tools such as Power BI and Tableau.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Machine learning and data analytics techniques; AI frameworks such as TensorFlow and PyTorch, and NLP/computer vision are a plus.
• Preferred: EMR systems (EPIC/NGEMR), medical imaging or clinical NLP, leading AI projects or mentoring juniors, and data engineering pipeline knowledge.