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 and search for Job Reference: LR8W5X96

To learn more about this opportunity, please contact Yingying at [HIDDEN TEXT]

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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Data Analytics (Healthcare) – 2 years contract