Manager, Artificial Intelligence Office (1-yr contract)(8182)

NUHS Group Ops & IT; Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a talented AI specialist to lead the development of innovative data solutions in healthcare. This role involves overseeing the implementation of AI-driven predictive models, ensuring data governance, and collaborating with clinical teams to enhance operational efficiencies. The ideal candidate will possess strong expertise in programming languages and AI libraries, as well as a deep understanding of healthcare data standards. Join a forward-thinking organization that values creativity and collaboration in transforming healthcare through advanced data analytics.

Qualifications

• Master’s or Ph.D. in a relevant field required.
• Strong expertise in Python, R, SQL, and AI libraries essential.
• Experience with healthcare data standards and large-scale datasets.

Responsibilities

• Develop and oversee data collection pipelines across institutions.
• Lead AI-driven predictive models for clinical decision support.
• Collaborate with teams to automate data extraction from medical records.

Skills

Python

R

SQL

TensorFlow

PyTorch

Scikit-learn

Deep Learning

Computer Vision

NLP

Time-Series Analysis

Biostatistics

Epidemiology

Clinical Research Methodologies

Education

Master’s or Ph.D. in Data Science

Biomedical Engineering

Bioinformatics

Tools

AWS

GCP

Azure

MLOps tools

Job description

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 so as to achieve end goal

• Organising our local AI conferences, showcase 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