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:
- Bachelors degree in a quantitative discipline (Computer Science, Mathematics, Data Analytics, Data Science, Statistics or related field) Masters 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
