Data Coder (Assistant Manager), NUHS Education & Research Office (2 Years Contract)

National University Polyclinics; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NUHS Education & Research Office in Singapore seeks a Data Coder (Assistant Manager) on a 2-year contract to empower the Research and Education Office to harness data effectively. You will support data-driven projects, prototype PoC and PoV initiatives, coordinate with clinicians and vendors, and help scale data solutions for impact.

The role requires Python/SQL, machine learning concepts, and good communication to translate requirements into actionable outcomes.

Qualifications

• Bachelor’s degree or Diploma in Computer Science, Data Science, or related field; advantage.
• Min 3 years in data/AI projects with healthcare domain exposure.
• Experience with ML models, and end-to-end data handling from requirements to delivery.
• Prototyping PoC/PoV and scaling solutions, including vendor coordination.
• Strong Python/SQL skills and ability to document technical work clearly.

Responsibilities

• Support data-driven projects aligned with clinical and business goals.
• Assist with stakeholder engagement and collaboration across teams.
• Contribute to PoC and PoV initiatives and scale solutions with hands-on or vendor-led approaches.
• Own end-to-end data requirements gathering to delivery of outcomes.
• Coordinate cross-functional work, timelines, and success metrics.
• Contribute to DIU operations and growth, and document best practices.
• Support day-to-day team operations for smooth execution and knowledge sharing.
• Participate in internal improvement initiatives to ensure long-term sustainability.

Skills

Machine learning concepts

Python

SQL

Full-stack prototyping

Cloud platforms

MLOps

Healthcare data

Stakeholder communication

Education

Bachelor’s degree or Diploma in related field

Tools

PyTorch

Scikit-learn

Python tooling

Cloud platforms

Data visualization tools

Job description

Data Coder (Assistant Manager), NUHS Education & Research Office (2 Years Contract)

Job ID: 10474

Job Function: Administration

Institution: National University Health System

This role exists to empower the Research and Education Office to leverage data more effectively, supporting NUHS’s mission to advance health through innovation, education, and translational excellence.

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 collaborationParticipate in efforts to build long-term sustainability of team

Requirements

• 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