Overview:
Alexandra Hospital, a member of the National University Health System (NUHS) cluster, is a historic site providing integrated, holistic care to patients. The hospital is a test bed for innovative care approaches in Singapore and is currently running a diverse portfolio of studies. Alexandra Research Centre for Healthcare In a Virtual Environment (ARCHIVE) is set-up to support the design of innovative experiments in hospital-supported, community-focused, patient-centred virtual care (vCare) models. ARCHIVE’s projects can include research studies, quality improvement projects and clinical trials that incorporate digital technology to ensure the care models are future ready.
The successful candidate will be expected to contribute towards new virtual healthcare projects and manage tasks on the evaluation of existing vCare programs in the areas of telemonitoring, telecollaboration, connected ward ecosystem and virtual care centre.
Job Responsibilities:
You will be responsible for the following:
- investigate and understand large structured and unstructured datasets.
- Identify patterns, trends and correlations to uncover actionable insights
- Develop predictive and prescriptive models using machine learning, statistical techniques, or artificial intelligence.
- Create algorithms to forecast trends and enhance decision making
- Work cross-functionally with stakeholders to understand their needs and deliver data backed recommendations
Requirements
- Master’s degree or PhD degree in advanced analytical or technical friends like Data Science, Computer Science, Machine Learning or Artificial Intelligence will be preferred.
- Minimum 2 years of experience in applied data analysis, modelling or machine learning. Fresh graduates who have relevant exposures in internships or academic projects are welcome to apply
- Strong analytical and critical thinking skills
- Ability to explain technical concepts and insights to non-technical stakeholders.
- Work effectively with cross-functional teams.
- Ensure data accuracy and reliability.
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