Sr Asst Manager, Data Intelligence & AI

Ttsh; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Ttsh is seeking a Senior Data Analyst / AI Engineer to design, build, and operationalise AI-powered solutions within the Division of Informatics & Data. You will model, simulate, and optimise to improve patient care and health services, with cloud-native deployment and scalable production-grade models.

You will collaborate with clinicians and IT teams, translate domain needs into analytics, and contribute to data science strategy across the hospital.

Qualifications

• Degree or Master’s in Data Science, Statistics, Computer Science, Computer Engineering required.
• Minimum 3 years of experience in developing and implementing data science solutions in healthcare.
• Advanced skills in statistical modelling, machine learning, deep learning, with hands‑on experience in AI engineering including model serving, containerisation (Docker, Kubernetes), and CI/CD pipelines.

Responsibilities

• Lead end-to-end development of AI solutions from data extraction and cleaning to model training and deployment on cloud infrastructure.
• Translate clinical requirements into analytical solutions and drive adoption of model outputs in workflows.
• Develop a coherent, institution-wide data science strategy and participate in research collaborations and publications."
• Mentor junior data scientists and analysts; support quality improvement and organisational development.

Skills

Statistical modelling

Machine learning

Deep learning

Python

R

CI/CD

Cloud platforms

SageMaker

Azure ML

Communication skills

Education

Degree or Master's in Data Science, Statistics, Computer Science, Computer Engineering

Tools

Docker

Kubernetes

Job description

Job Summary

The Senior Data Analyst / AI Engineer will work closely with clinical domain experts, stakeholders, and IT teams within the Division of Informatics & Data (DID) to design, build, and operationalise AI-powered solutions, to perform simulation modelling and solve optimisation problems. This role bridges the gap between hands-on model development and strategic solution architecture, with a strong emphasis on cloud-native AI engineering and the deployment of scalable, production-grade models to improve patient care and health services delivery.

Job Summary

The Senior Data Analyst / AI Engineer will work closely with clinical domain experts, stakeholders, and IT teams within the Division of Informatics & Data (DID) to design, build, and operationalise AI-powered solutions, to perform simulation modelling and solve optimisation problems. This role bridges the gap between hands-on model development and strategic solution architecture, with a strong emphasis on cloud-native AI engineering and the deployment of scalable, production-grade models to improve patient care and health services delivery.

Main Duties And Responsibilities

• Lead the end-to-end development of AI solutions - from data extraction, cleaning, and preprocessing through to model training, evaluation, and deployment on cloud infrastructure (e.g., AWS, Azure, or Hospital Private Cloud). This includes designing and implementing cloud-native data pipelines and MLOps workflows to ensure models are reliably versioned, monitored, and maintained in production environments.
• Work closely with clinicians, pharmacists, and other healthcare professionals, to translate domain requirements into analytical solutions, drive adoption of model outputs into clinical workflows, and conduct regular reviews of deployed models to ensure continued relevance and performance.
• Identify opportunities to integrate AI capabilities across functions and contributing to the development of a coherent, institution-wide data science strategy.
• Able to perform simulation modelling and solve optimisation problems, applying techniques such as discrete-event simulation, linear/integer programming, or metaheuristic methods to support operational and clinical decision-making.
• To increase the visibility of analytic work through journal publications and conference presentations, seek research collaborations and funding, and conduct training and knowledge-sharing sessions on AI, cloud computing, and analytics.
• Mentor of junior data scientists and analysts is a key part of the role.
• General compliance, risk management, and administrative responsibilities apply as required.
• Participate actively in organisational development and quality improvement, act as a change agent at both hospital-wide and departmental levels, and be able to work beyond routine office hours during exigencies such as infectious disease outbreaks.

Job Requirements

• Degree or Master's in Data Science, Statistics, Computer Science, Computer Engineering, or equivalent disciplines with extensive use of data for analysis is required.
• A minimum of 3 years of experience in the development and implementation of data science solutions in a healthcare setting is expected.
• Advanced skills in statistical modelling, machine learning, and deep learning, complemented by hands‑on experience in AI engineering - including model serving, containerisation (e.g., Docker, Kubernetes), and CI/CD pipelines.
• Strong proficiency in cloud platforms, including experience with managed ML services such as SageMaker, Azure ML, etc.
• Strong programming skills in Python and/or R
• Hands‑on experience with FlexSim simulation software will be value-added
• Ability to design and execute complex experiments, manage large-scale data projects, and think strategically about solution architecture is expected.
• Strong communication skills to liaise between technical and clinical teams are essential.