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Job Description
The candidate will work on a research project to develop a technology-based care model for managing common chronic conditions in primary care settings, aiming to reduce healthcare burdens and support national health strategies. The candidate is expected to contribute to the following aspects:
- Work with Clinical Leads to evaluate clinical programmes in order to identify areas for improvement, including the identification of predictive factors and trends
- Organise information and analytics use cases to support data and analytics related activities for the organisation
- Developing and implementing machine learning models for predictive and prescriptive analysis
- Apply technical expertise in quantitative analysis, data mining, predictive modelling, and presentation of data to derive insights that value-add to management decision making (e.g. hypothesis testing, validation of business cases, development of data products and predictive models)
- Conduct literature reviews to support uptake of evidence based practices
- Conduct data analysis and evaluation using statistical and quantitative data analysis software.
- Utilizing programming languages like Python or R for data analysis and model development.
- Submit and present reports, findings and updates at management level platforms and committees
- Communicating findings and recommendations to both technical and non-technical stakeholders.
- Collaborate with multidisciplinary team to improve clinical outcomes and patients satisfaction
Qualifications
Requirements:
- Good Postgraduate (Master's or PhD) / Bachelor's Degree in Computer Science, Data Science, Data Engineering or equivalent.
- Strong background in statistical modelling, machine learning, and experience in developing end-to-end data analytics solutions.
- Proficient with programming in Python and AI related frameworks such as Scikit-Learn, TensorFlow or PyTorch.
- Experience in NLP and familiarity with healthcare data is a plus.
- Experience in Large Language Models, Generative Pre-trained Transformer models, foundation models etc. is a plus.
- Proficiency in AI and ML platforms and services from cloud providers such as AWS, GCP, Azure is a plus.
- Excellent communication and interpersonal skills, able to work with a diverse group of stakeholders.
