Healthcare Data Engineer & AI Prototyper

National University Health System; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

National University Health System seeks a data analytics professional to empower the Research and Education Office by leveraging data for impactful clinical and business solutions.

You will collaborate with clinicians and engineers to prototype ML-powered proofs of concept, prototype web-based tools, and support scalable deployments using cloud/MLOps. Strong communication and documentation are essential in driving data-centric outcomes within NUHS.

Qualifications

• Bachelor’s degree or Diploma in disciplines related to Computer Science, Data Science, Software Engineering, Business Analytics, Biomedical Engineering, Bioinformatics, or a related field will be an advantage.
• Min 3 years of experience on below: Understanding of machine learning models and algorithms and their applications, particularly in the healthcare domain
• Understanding of full-stack web development and the ability to quickly prototype proof‑of‑concepts.
• General proficiency in Python and SQL, with hands‑on experience in frameworks such as PyTorch and Scikit‑learn, plus anything else you can bring to the table
• Familiarity with cloud platforms and experience using MLOps tools for scalable and robust deployments
• Understanding of medical datasets, electronic health records, healthcare data standards
• Understanding of ethical considerations in AI including bias mitigation, model fairness and explainability, particularly in the healthcare context
• Excellent communication skills for cross-functional collaborations with clinicians, technical team, and business stakeholders
• Ability to prepare clear, concise technical documentation and presentation materials to effectively communicate ideas and outcomes to stakeholders

Responsibilities

• Support data-driven projects aligned with clinical and business goals
• Assist with engagement and collaboration with stakeholders
• Support the development of Proof of Concept and Proof of Value initiatives, and drive the scaling of solutions – whether through hands‑on implementation or by managing external vendors or partners
• Own and manage the end-to-end process from gathering and translating user and business requirements to ensure the delivery of impactful user‑centre and data‑centre outcomes
• Coordinate cross-function collaboration to align on goals, resources, timelines, success metrics
• Contribute to the operations and growth of the Data Insight Unit (DIU)
• Support day-to-day team operations to ensure smooth and efficient execution
• Capture and document best practices and lessons learned to promote knowledge sharing and team consistency
• Actively contribute to internal improvement initiatives aimed at enhancing team collaboration
• Participate in efforts to build long‑term sustainability of team

Skills

Machine learning

Full-stack development

Python

SQL

Model deployment

Cloud platforms

MLOps

Healthcare data

Explainability

Documentation

Education

Bachelor's degree or Diploma in Computer Science/Data Science/Software Engineering/Business Analytics/Biomedical Engineering/Bioinformatics

Tools

PyTorch

Scikit-learn

Job description

National University Health System seeks a data analytics professional to empower the Research and Education Office by leveraging data for impactful clinical and business solutions.

You will collaborate with clinicians and engineers to prototype ML-powered proofs of concept, prototype web-based tools, and support scalable deployments using cloud/MLOps. Strong communication and documentation are essential in driving data-centric outcomes within NUHS.