Job Description

Responsibilities:

• Lead the design and execution of data analytics strategies across healthcare domains.
• Build and maintain automated data pipelines, ETL processes, and interactive dashboards.
• Clean, validate, and analyze large healthcare datasets using advanced statistical and machine learning methods, including LLMs.
• Support clinical research and quality improvement initiatives through data-driven insights.
• Collaborate with clinical and technical teams to integrate PROMs and optimize care pathways.
• Take ownership of relevant data assets and databases, ensuring proper data governance, security, and protection practices are applied across all initiatives.
• Ensure data integrity, perform quality checks, and deliver clear, stakeholder-friendly reports and visualizations.
• Uphold data privacy, security, and regulatory compliance standards.
• Implement secure, responsible data sharing and AI model deployment practices.
• Work cross-functionally to enhance data accessibility, visibility, and usability across the organization.
• Perform other duties as assigned by the Reporting Officer.

Requirements:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field; Masters degree preferred.
• At least 2 years of experience in healthcare analytics or a related domain.
• Demonstrated experience developing and deploying LLM applications in production environments with GitHub portfolio showcasing LLM/AI agent projects and clear documentation of role and contributions
• Hands-on experience building agentic AI systems beyond academic coursework with evidence of real-world implementation through public repositories, deployed applications, or detailed project case studies
• Proficient in Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI, Spotfire).
• Experience with cloud platforms (preferably AWS and Databricks), container tools (Docker, Kubernetes), and web frameworks (Streamlit, Next.js, TypeScript).
• Skilled in statistical analysis, machine learning (including LLMs), and handling large datasets.
• Familiar with REST APIs (e.g., FastAPI), Git, CI/CD pipelines, and DevSecOps practices.
• Knowledge of healthcare systems, medical terminology, and data privacy regulations (e.g., PDPA, HBRA).
• Strong analytical, communication, and stakeholder engagement skills.
• Able to work independently and collaboratively in a fast-paced environment.

To apply, please visit www.gmprecruit.com and search for Job Reference: LR8W5X96

To learn more about this opportunity, please contact Yingying at yingying.lai@gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

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