Assistant Manager, Data Insights Unit (2-Year Contract)

National University Health System; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

National University Health System invites applications for the role of Data Coder (Assistant Manager) in the NUHS Education & Research Office on a 2-year contract. You will empower the office to leverage data more effectively to advance health through innovation, education and translational excellence.

Responsibilities include delivering data-driven projects, prototyping PoCs, collaborating with clinicians and stakeholders, and guiding end-to-end data initiatives from requirements to

Qualifications

• Bachelor's degree or Diploma in related field; advantage.
• Min 3 years of experience in ML, healthcare domain preferred.
• Prototyping PoCs and full-stack development ability.
• Strong Python and SQL skills with PyTorch/Scikit-learn experience.
• Familiarity with cloud platforms and MLOps tools.

Responsibilities

• Support data-driven projects aligned with clinical and business goals.
• Assist with engagement and collaboration with stakeholders.
• Support the development of PoC and PoV initiatives, and drive scaling of solutions—managing external vendors or partners if needed.
• Own and manage end-to-end process from gathering and translating requirements to delivery of data-centric outcomes.
• Coordinate cross-function collaboration to align goals, resources, timelines, success metrics.
• Contribute to the operations and growth of the Data Insight Unit (DIU).
• Support day-to-day team operations for smooth execution.
• Capture and document best practices and lessons learned for knowledge sharing and consistency.
• Actively contribute to internal improvement initiatives for team sustainability.

Skills

Python

SQL

PyTorch

Scikit-learn

Full-stack prototyping

MLOps tools

Cloud platforms

Healthcare data

AI ethics

Technical documentation

Education

CS/DS/SE/Analytics

Tools

PyTorch

Scikit-learn

MLOps tools

Cloud platforms

Job description

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

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 collaboration
• Participate 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