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The National Cancer Centre Singapore (NCCS) invites applications for a data analytics role to advance the Division’s research and innovation by designing clinical registries to enable AI applications and population health insights.
You will integrate genomic data with surgical insights, translating complex datasets into actionable outcomes that inform surgical care delivery, resource planning and long-term health system strategies.
The National Cancer Centre Singapore (NCCS) is a leading national and regional tertiary cancer centre, attending to the majority of cancer cases in Singapore’s public healthcare sector. We offer world class oncology care by having the best talent, doing robust clinical and translational research and leading education efforts to improve cancer outcomes. Join us to build a meaningful career and offer patients hope for a cancer-free tomorrow.
You will play a pivotal role in advancing the Division’s research and innovation initiatives as well as strategic priorities by working with surgical Research Leads to design and develop clinical registries to enable AI applications and population health insights.
You will also contribute to bioinformatics development by integrating genomic data with surgical insights, with the aim of translating findings into broader population health strategies.
Through rigorous statistical expertise and data integration, you will support the translation of complex datasets into actionable outcomes that inform surgical care delivery, resource optimization, and long-term health system planning within the Division.
Collection of data from various sources, and organizing it for analysisCollaborate with Division Research Leads to provide statistical and data analytics expertise across clinical and translational research projects.
Oversee the design and development of Health Data Registry by defining & examining outcomes of high complexity surgeries through reviewing and compiling surgical databases and electronic health records
Development of programs & strategies in preparation for a capitation financial healthcare financing model
Perform statistical and data analysis techniques to generate insights from the data to guide decision making
Development of the Health Services Research in Surgery by building a surgical population health database that can be harnessed by like-minded surgeon-scientist and operationalizing systemic implementation of PROMs in surgery using AI
Producing reports and presentations to communicate findings and recommendations
Degree in Economics, Health Policy, Mathematics, Statistics, Computer Science, Biomedical Science or any relevant field.
Experience in coding (Python or R or SPSS)
Experience with database design and build, as well as bioinformatics and data registries development
Working knowledge of statistical software (SAS, STATA, R, SPSS) will be beneficial
Passionate about clinical and health service research to bring about positive impact to patients
Organized, meticulous and able to work independently and in a team.
Learns fast and good team player.
Able to work independently and interactively in a team setting, with excellent collaborative and interpersonal skills.
Strong work ethics and a keen interest to learn on the job is essential
Knowledge of health economic modelling and machine learning are desirable