Location: West
Working Hours:Mon to Fri, 830am to 6pm
Duration: 2 years direct contract
Salary: Up to $6,800/month + VB + AWS
Job Description:
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 audience
- 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 NUHS 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
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
- Proficiency in FastAPI or equivalent REST API frameworks
- Singaporeans only.