Key Responsibilities

Data Analytics

• Lead the development and implementation of comprehensive data analytics strategies
• Design and maintain automated data pipelines and ETL processes
• Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness
• Apply advanced statistical techniques and data mining methods to explore large healthcare datasets
• Create and manage interactive dashboards and analytical tools with focus on intuitive visualisation for non-technical audiences
• Provide advanced analytics support for clinical research and quality improvement initiatives (e.g. outcomes of clinical care and community care for chronic conditions such as diabetes, kidney disease and asthma)
• Develop predictive models and implement machine learning solutions including LLMs
• Partner with clinical teams to integrate PROMs into care workflows
• Collaborate with GTO and AIO for enhanced data visibility and accessibility
• Design and implement LLM-powered solutions for care pathway optimisation

Data Quality & Monitoring

• Monitor data integrity through systematic validation processes
• Identify and analyze meaningful patterns, trends, and correlations in healthcare data
• Develop and implement data quality checks and validation processes
• Prepare and deliver clear and concise reports and presentations to stakeholders
• Ensure data visualisations are intuitive and accessible for non-technical audiences
• Collaborate with teams across the organisation to understand their data needs

Data Governance & Protection

• Ensure compliance with Data Governance Guidelines and relevant healthcare regulations
• Implement robust data security measures and access controls
• Oversee data quality management and standardisation
• Manage data privacy requirements including PDPA and HBRA compliance
• Establish protocols for secure data sharing and collaboration
• Ensure responsible AI implementation and LLM usage

Key Requirements:

• Bachelor’s degree in a quantitative discipline (Computer Science, Mathematics, Data Analytics, Data Science, Statistics or related field); Master’s degree preferred
• Minimum 2 years’ experience in healthcare analytics or related field
• At least 2-3 years of leadership experience is preferred
• Advanced proficiency in programming languages such as Python, R, and SQL
• Experience with data visualisation tools such as Tableau, Power BI and TIBCO Spotfire
• Experience with cloud-based analytic platforms preferably Databricks
• Experience with statistical techniques and data mining methods, such as correlation analysis, predictive modelling, A/B testing, and time series forecasting
• Experience in implementing and fine-tuning AI models, including knowledge of LLMs and their applications in healthcare
• Experience with cloud computing platforms, particularly AWS
• Proficiency in containerisation technologies including Docker and Kubernetes
• Experience with web development frameworks including Streamlit, NextJS, and TypeScript
• Proficiency in FastAPI or equivalent REST API frameworks
• Knowledge of database concepts and experience with database management tools such as SQLAlchemy
• Experience in handling large datasets is a plus
• Proficiency in Git version control and collaborative development
• Strong understanding of CI/CD and DevSecOps practices
• Strong understanding of healthcare systems and medical terminology
• Proven track record in stakeholder management and project delivery
• Strong analytical and problem-solving skills
• Strong communication, presentation, writing, and interpersonal skills
• Strong attention to detail and proven ability to handle and analyse data accurately
• Ability to translate business requirements into technical solutions
• Team player with a positive attitude and ability to work within deadlines
• Ability to work independently and collaboratively in a fast-paced environment