Senior/ Data Analyst (Contract)

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.