Research Assistant/Associate (Surgery)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading academic institution in Singapore is seeking a candidate to work on a research project developing technology-based care models for chronic conditions. The ideal candidate will have a strong background in data science, with expertise in machine learning and statistical modelling. Responsibilities include evaluating clinical programmes, developing predictive models, and collaborating with multidisciplinary teams. Excellent communication skills are essential for this role, ensuring effective collaboration with various stakeholders.

Qualifications

• Strong background in statistical modelling and machine learning.
• Experience in developing end-to-end data analytics solutions.
• Proficient in Python and AI-related frameworks.

Responsibilities

• Work with Clinical Leads to evaluate clinical programmes.
• Develop and implement machine learning models for analysis.
• Conduct data analysis using statistical software.

Skills

Statistical modelling

Machine learning

Data analysis

Communication skills

Python programming

Education

Postgraduate (Master’s or PhD) in Computer Science, Data Science, or equivalent

Tools

Scikit-Learn

TensorFlow

PyTorch

Job description

Interested applicants are invited to apply directly at the NUSCareer Portal

Your application will be processed only if you applyvia NUSCareer Portal

We regret that only shortlisted candidates will be notified.

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:

1. Work with Clinical Leads to evaluate clinical programmes in order to identify areas for improvement, including the identification of predictive factors and trends
2. Organise information and analytics use cases to support data and analytics related activities for the organisation
3. Developing and implementing machine learning models for predictive and prescriptive analysis
4. 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)
5. Conduct literature reviews to support uptake of evidence based practices
6. Conduct data analysis and evaluation using statistical and quantitative data analysis software.
7. Utilizing programming languages like Python or R for data analysis and model development.
8. Submit and present reports, findings and updates at management level platforms and committees
9. Communicating findings and recommendations to both technical and non-technical stakeholders.
10. 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.