The Opportunity:
You will be part of the analytics team providing accurate information and analysis results to management and clinical departments, working closely with clinicians, administrators, and healthcare professionals.
Job Responsibilities:
- 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
Job 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.
- Excellent project management and organisational skills, able to handle multiple tasks and prioritise projects to meet deadlines.
- Excellent statistical and data management skills, proficient in analytics tools such as Tableau.
