Data Scientist (Healthcare)

Your tasks

• Lead the research, design, development, and deployment of LLM-based and agentic AI solutions to address clinical and operational challenges.
• Build and maintain automated data pipelines, prompt engineering workflows, and retrieval-augmented generation (RAG) systems for AI applications.
• Develop LLM-powered applications for clinical decision support, care pathway optimisation, automated documentation, and clinical research initiatives.
• Apply NLP techniques to clean, preprocess, validate, and analyse healthcare data, ensuring high data quality and extracting actionable insights.
• Collaborate with cross-functional teams to integrate AI solutions into existing clinical platforms and data infrastructure.
• Monitor application performance, develop explainability frameworks, create reports and visualisations, and communicate findings to technical and non-technical stakeholders.
• Ensure compliance with healthcare data governance, security, privacy regulations (e.g., PDPA, HBRA), and ethical AI implementation, including data anonymisation and access management.

Requirements

• Minimum 2 years of experience in data science or a related field, preferably within a healthcare environment.
• Proven experience developing and deploying production-grade LLM and agentic AI applications, supported by a GitHub portfolio or documented project case studies.
• Strong programming skills in Python, R, and/or SQL, with experience integrating AI/ML models, LLM APIs, and cloud platforms (especially AWS).
• Solid understanding of CI/CD, MLOps, and DevSecOps practices for AI application development and deployment.
• Strong analytical, problem-solving, and communication skills, with the ability to translate clinical and operational needs into practical AI solutions.

Other

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