Manager, Artificial Intelligence Office (1-yr contract)

National University Polyclinics; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

An established industry player is seeking a Manager for their Artificial Intelligence Office to lead the development of advanced AI models and pipelines that enhance clinical workflows. This role involves overseeing data collection, ensuring compliance with data governance, and collaborating with IT and clinical teams to automate data extraction. You will also implement AI-driven predictive models and establish frameworks for model validation, ensuring the tools are effective and bias-free. Join a forward-thinking organization that is at the forefront of AI innovation in healthcare, where your contributions will make a significant impact on patient care and operational efficiency.

Qualifications

• Master's or Ph.D. in a relevant field is required.
• Strong expertise in Python, R, SQL, and AI libraries is essential.

Responsibilities

• Develop and oversee data collection pipelines and ensure data governance.
• Lead implementation of AI-driven predictive models for clinical support.

Skills

Python

R

SQL

TensorFlow

PyTorch

Scikit-learn

Deep Learning

Computer Vision

Natural Language Processing (NLP)

Time-Series Analysis

Biostatistics

Epidemiology

Clinical Research Methodologies

AI Ethics

Bias Mitigation

Interpretability in Healthcare AI

Education

Master’s or Ph.D. in Data Science

Master’s or Ph.D. in Computer Science

Master’s or Ph.D. in Biomedical Engineering

Master’s or Ph.D. in Bioinformatics

Tools

AWS

GCP

Azure

MLOps tools

Job description

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Manager, Artificial Intelligence Office (1-yr contract)

Job ID: 8182

Job Function: Administration

Institution: National University Health System

Reporting to the Deputy Group Chief Technology Officer, you will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsibilities

You will be responsible for the following:

• Develop and oversee efficient data collection pipelines across NUHS as well as the institutes we collaborate and work with.
• Ensure data governance, security compliance (PDPA/HIPAA/GDPR/etc.), and interoperability for seamless integration.
• Work with NUHS IT and clinical teams to automate data extraction and structuring from medical records, imaging systems, and wearable devices.
• Lead the implementation of AI-driven predictive models for clinical decision support and operational efficiencies.
• Establish frameworks for model validation, ensuring AI tools are generalizable, bias-free, and clinically relevant.
• Collaborate with data scientists, clinicians, and regulatory bodies to refine AI applications.
• Design intuitive user interfaces to facilitate AI adoption by clinicians and hospital administrators.
• Ensure seamless real-time integration of predictive analytics into Electronic Medical Records (EMRs), dashboards, and reporting tools.
• Work with human factors specialists to optimize workflow efficiency and user engagement.
• Oversee scalable AI deployment across different institutions, ensuring reliability and minimal downtime.
• Implement APIs and middleware solutions for seamless interoperability between clusters.
• Drive cross-cluster alignment by ensuring standardization in AI outputs, reporting formats, and data-sharing agreements.
• Engage with executive leadership, healthcare providers, data scientists, and engineers to drive AI-enabled transformation.
• Guide junior data scientists in the AIO team, troubleshoot problems to achieve end goals.
• Organize local AI conferences, showcasing NUHS AI capabilities to attract further talents.
• Develop strategic roadmaps for AI expansion, keeping in mind emerging technologies and regulatory requirements.

Requirements

• Master’s or Ph.D. in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field.
• Prepare technical documentation, research papers, and presentations for stakeholders.
• Strong expertise in Python, R, SQL, and libraries such as TensorFlow, PyTorch, Scikit-learn.
• Experience with healthcare data standards (FHIR, HL7, DICOM).
• Hands-on experience in deep learning, computer vision, NLP, and time-series analysis.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools for deploying models.
• Strong knowledge of biostatistics, epidemiology, and clinical research methodologies.
• Experience in working with large-scale medical datasets and electronic health records.
• Understanding of AI ethics, bias mitigation, and interpretability in healthcare AI.
• Excellent communication skills to collaborate with clinicians, engineers, and business stakeholders.
• Work as a team member to fulfill requirements and tasks assigned by the Reporting Officer.