Data Analytics (Healthcare) - 2 years contract

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