Job Description

Under Office of Deputy Group Chief Medical Informatics Officer (Research) (Office of DGCMIO (Research)), you will integrate and prepare large and varied datasets, model complex business problems, discover business insights and identify opportunities through the use of machine learning and statistical, algorithmic, mining and visualisation techniques. You will also partner with stakeholders to translate business problems into data science projects. You are required to understand the current data policies and procedures, and develop strategies for usage of appropriate data sets. You will also need to be knowledgeable of the trends affecting the industry, such as anonymisation systems. You will oversee and maintain research database platforms. In addition, you will work on common data standards to facilitate data sharing across institutions and agencies.

You will develop tools for data logging and data models to support data science experiments to test data assumptions and present the experiment results to draw actionable conclusions and recommendations. You will lead data streams for analytical solutions from initial design to implementation, prototyping and testing. You will participate in Trusted Third Party (TTP) activities such as project estimation as well as perform data governance management and data manipulation activities. You will also apply data analysis, data mining and data processing to present data clearly as well as create leading-edge resources, such as guides or videos to be used to advance data usage within the organisation.
Auto req ID
10320BR
Job Requirements

• Bachelor’s degree in Mathematics, Statistics, Biomedical or any related science/engineering discipline or equivalent
• Preferably with at least 2 years of experience in consultancy/analytics in health services research
• Experience in working with large healthcare datasets, including both structured data and unstructured data (e.g. textual notes, image data)
• Experience in data management and manipulation approach tools (e.g. Data Profiling / SQL querying, Data Quality, ETL and Data warehousing, Data governance and Healthcare data standards, Statistical modelling, In memory analytics, Big data framework (e.g. Hadoop, Spark)
• Familiarity with commercial statistical software (e.g. SPSS, Stata), open source platforms (e.g. R, Python) and commercial BI tools (e.g. Tableau, OBIEE, IBM Cognos)
• Strong passion for analysing and resolving complex business problems with displays of an intellectual curiosity about the business needs
• Strong background in data engineering concepts
• Good communication skills to coordinate effectively with multidisciplinary teams comprising of clinicians, operational and administrative staff and allied health professionals to solve care delivery problems
• Must be fully vaccinated against COVID-19

Job Category
Management / Administration
Job Function
Statistics
Employment Type
Regular Full Time
Location
Singapore
Education Level
Bachelors Degree