Data Scientist

The National University Health System (NUHS) is a leading academic health system in Singapore, encompassing a diverse network of three acute hospitals, two community hospitals, national centers, polyclinics, family medicine clinics, and health science institutions. NUHS is committed to advancing healthcare through patient-centered care, research, education, and close collaboration with community partners. With a mission to deliver exceptional care, the system strives for health transformation across primary, tertiary, and complex care settings. The NUHS network includes institutions such as the National University Hospital, Ng Teng Fong General Hospital, Alexandra Hospital, and the NUS Yong Loo Lin School of Medicine.

We are seeking a dedicated and detail-oriented Data Scientist for a full-time hybrid role based in Singapore, with flexibility for occasional remote work. The Data Scientist will be responsible for analyzing and interpreting complex data sets to generate actionable insights that drive decision-making. This includes handling data cleaning, building predictive models, designing data visualizations, and collaborating with cross-functional teams to support various healthcare initiatives. The role involves translating business and research problems into data-driven solutions while maintaining the integrity and security of sensitive healthcare data.

• Proficiency in Data Science, Data Analytics, and Data Analysis.
• Strong skills in Statistics and Data Visualization.
• Experience in developing predictive models and machine learning algorithms is a plus.
• Familiarity with healthcare data and regulations is highly desirable.
• Strong problem-solving skills and the ability to translate data findings into impactful business or clinical insights.
• Proficiency in programming languages such as Python, R, or SQL is advantageous.
• Bachelor's or higher degree in Data Science, Statistics, Computer Science, or a related field.
• Strong communication and collaboration skills with the ability to work in a hybrid environment.