Data Scientist (LLM & Agentic AI)

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Description

Responsibilities Lead the research, design, and deployment of LLM-powered and Agentic AI solutions to address clinical and operational challenges. Design, develop, and maintain automated data pipelines, prompt engineering workflows, and Retrieval-Augmented Generation (RAG) pipelines to support AI application development. Apply advanced Natural Language Processing (NLP) techniques to analyse healthcare datasets and develop AI-powered solutions for clinical decision support, care pathway optimisation, automated documentation, and quality improvement initiatives. Develop and deploy LLM-powered applications and Agentic AI systems, including multi-agent orchestration frameworks. Collaborate with cross-functional technology teams to integrate AI solutions with existing clinical platforms and data infrastructure. Develop application performance monitoring and explainability frameworks to evaluate solution effectiveness and communicate findings to technical and non-technical stakeholders. Monitor data quality through validation and quality assurance processes, analyse healthcare data to identify meaningful insights, and prepare reports, dashboards, and visualisations. Ensure compliance with data governance policies, PDPA, HBRA, and other regulatory requirements by implementing appropriate security controls, managing data access and anonymisation, and promoting the responsible and ethical use of AI solutions. Perform any other duties assigned by the Reporting Officer. Requirements Bac

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