Senior Manager, Data Science and Analytics

Our client is an established hospital in Singapore. We are sourcing for a Senior Manager, Data Science and Analytics, to join as a member of the Department of Data Science and Analytics, leveraging the latest AI techniques such as GPT and LLM, to work on some of the most challenging and fascinating problems in healthcare.
The hospital is undergoing massive campus redevelopment and piloting new models of care that are powered by cutting-edge data analytics and AI technologies.
Job Scope:

• Develop a roadmap for data analytics for the hospital to partner with the various stakeholders
• Explore and extract insights from massive healthcare dataset , to power a new care model that can make our care delivery seamless, precise and in fairness to each patient
• Facilitate the regulatory reporting work through report automation.
• Leverage GPT and LLM to analyse and understand complex healthcare data
• Use data to support decision-making around service expansion, care delivery, patient retention/churn, and other business goals
• Build, validate, test, and deploy machine learning or other data science models to predict and influence the behaviour of patients and providers with the goal of optimizing system efficiency
• Work independently or in a team to solve complex problem statements
• Interface with business & operation teams to formulate solutions and influence changes informed by the data findings

• Bachelors Degree or Masters Degree in Operation Research/Management, Mathematics, Computer Science/Engineering, Industrial Engineering, Business Analytics, Information System, Physics or other quantitative disciplines.
• Minimum of 5 years of practical experience in data-related work
• Ability to work with multi-disciplinary healthcare teams, collaborative, accommodative and supportive to contribute to the shared vision and common goal
• Proficiency with SQL, Python, Excel, Tableau
• Prior knowledge of cloud computing AWS/Azure will be added advantage
• Knowledge & experience in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
• Prior experience in health services is added advantage, but not a must.
• Good understanding of database and ETL techniques and tools (such as SQL, OBIEE etc)