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Assistant Director, Data Science

Agency: Health Promotion Board
Job no.: 533238
Work type: Permanent
Location: Singapore

Established in 2001, the Health Promotion Board’s (HPB) vision is to build a nation of healthy people.

We aim to empower residents in Singapore to attain optimal health, increase the quality and years of healthy life, and prevent illnesses, disability and premature death.

To achieve this, HPB drives national health promotion and disease prevention programmes, spearheads health education initiatives and creates a supportive environment in Singapore where healthy lifestyle options are available and accessible for healthy living every day.

Assistant Director, Data Science

Policy, Research and Surveillance Division

Advance the transformation of health promotion through the delivery of internationally-recognised and high-performing policies, evidence and intelligence.

Programme Evaluation Department

To advance the transformation of health promotion through the adoption of a systems and multi-disciplinary approach to programme evaluation, leveraging new data sources, data collection methods and advanced data science techniques.


Summary Objective of Role

The job holder will drive and lead programme analytics with a focus on delivering measurable outcomes for programme evaluation and influencing business strategies. This would be done through leveraging advanced analytics and integrating artificial intelligence and machine learning to better predict and deliver behavioural nudges. The job holder will also facilitate the development of a recommendation engine to support new person-centric health promotion strategies.



1.       Set up and implement advanced analytics to drive programme evaluation and deepen understanding of key target groups of the population

·         Develop programme analytics strategy and data collection framework to support programme evaluation and strategy review

·         Design optimal data structures and integrate multiple data sources (e.g. programmatic, surveillance, disease and app-based data) to perform data analytics

·         Propose and leverage “new” (e.g. market/ industry) data sources and data collection/analysis methods to deliver more effective programme review and monitoring


2.       Lead a cross-functional matrix team to develop and test impact of behavioural nudges/recommendation engine based on advanced analytics such as predictive analytics, artificial intelligence and machine learning


·          Lead and coach a cross-functional matrix team comprising of statisticians, epidemiologists and domain specialists to develop artificial intelligence and machine learning models and algorithms to better predict and test behavioural nudges

·          Support the development of recommendation engine to promote the potentials of new health promotion strategies that can impact population health


3.       Drive collaborations and partnerships across public and private sector partners to advance and widen health promotion in broader research agenda

·         Partner research collaborators (e.g. NUS School of Public Health, A-STAR, technology industry players such as Apple & Fitbit) to further HPB’s understanding of key target segments and contribute to the development of innovative technologies and tools to advance preventive health



·         Qualification or work experience in data science/analytics, statistics, computer science or equivalent

·         At least 5 years of experience in a data science or data analytics position

·         Proficient in statistical and advanced modelling packages and other advanced analysis tools (e.g. R, Python, SQL). Experience in data management and forecasting and predictive modelling tools would be required.

·         Proven track record in leading and collaborating with business stakeholders independently both within and outside of the organisation

·         Able to work in a fast-paced matrix environment, overseeing multiple projects at the same time

·         Good communication skills and able to communicate and express complex data/concepts in a clear and simple-to-understand manner

·         Possess the drive, commitment and perseverance to do well and have strong intellectual curiosity to learn and seek continuous improvements in the work assigned

·         Possess strong problem solving and critical thinking skills

·         Receptive to new and innovative ways of doing things effectively and efficiently

·         Take an interest in healthcare

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