Sr Executive (AI Lab - Healthcare)

Tan Tock Seng Hospital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tan Tock Seng Hospital seeks a Senior Executive to join the AI Lab, bridging mathematics, statistics, and computer science to extract actionable insights from healthcare data and translate them into clinical outcomes.

You will own end-to-end data science work—from data sourcing and cleaning to preprocessing, modeling, deployment and visualization—collaborating with clinicians, engineers, and stakeholders to translate data into impact.

Qualifications

• End-to-end data science or ML solution development experience.
• Experience in healthcare analytics or clinical systems is advantageous.
• Fresh graduates may be considered for junior roles.

Responsibilities

• Build scalable data science pipelines for data ingestion, preprocessing, feature engineering, model training and evaluation.
• Extract, clean, preprocess and transform large raw data into structured datasets with quality controls.
• Perform exploratory data analysis to uncover trends and insights.
• Apply statistical methods to support decision-making.

Skills

Python or R

Statistics & ML

SQL & Data Tools

Cloud platforms

AI frameworks

Dashboard visualization

Education

Bachelor’s degree in Data Science, CS, Statistics, Mathematics

Master’s degree or higher

Tools

Power BI

Tableau

TensorFlow

PyTorch

Job description

Job Summary

We are seeking a Sr Executive to join our AI Lab, who bridges mathematics, statistics, and computer science to extract actionable insights from raw data in healthcare. The role involves end-to-end data science work—from data source identification, data acquisition, data cleaning, synthesizing, to preprocess, transforming and visualization—while working closely with clinicians, engineers, and stakeholders to translate data into impactful clinical outcomes.

Key Responsibilities

1. Data Management & Analytics

• Build robust and scalable data science pipelines, including data ingestion, preprocessing, feature engineering, model training, and evaluation.
• Extract, clean, preprocess and transform large and complex raw data into structured datasets while ensuring data quality, consistency, and usability.
• Perform exploratory data analysis to uncover trends, patterns, and actionable insights.
• Apply statistical methods and analytical techniques to solve healthcare problems and support decision-making.

• Apply machine learning algorithms and advanced statistical techniques to forecast trends or solve problems.
• Investigating data to uncover hidden patterns, correlations, and anomalies.

2. AI/ML modelling

• Building, training, and testing predictive models to automate decision-making and forecast business trends.

3. Deployment & Integration

• Collaborate with engineering and IT teams to design data workflows, pipelines, and system architecture across healthcare platforms.
• Support deployment of AI models into clinical environments, ensuring performance, reliability, and scalability.

4. Documentation & Communication

• Collaborating with business leaders and system custodian translating complex statistical findings into actionable business strategies
• Document methodologies, model design, validation processes, and results clearly and comprehensively.
• Prepare reports, dashboards, and presentation materials for both technical and non-technical audiences.
• Communicate insights and recommendations effectively to stakeholders and leadership.

5. Research & Innovation

• Contribute to research initiatives, including publications and intellectual property development.
• Stay updated with emerging data analytic techniques and healthcare innovations.
• Explore new use cases for data analytics to enhance clinical workflows and patient care.

Qualifications & Requirements

Education

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field required.
• Master’s degree or higher in a relevant discipline is a plus.

Experience

• Experience in developing end-to-end data science or machine learning solutions.
• Experience in healthcare analytics, medical data, or clinical systems is advantageous.
• Fresh graduates with strong technical capabilities may be considered for junior roles.

Technical Skills

• Proficient in programming languages such as Python or R.
• Strong knowledge of statistics, machine learning, and data analytics techniques.
• Experience with SQL and data manipulation tools (Power Bi, Tableau).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with AI frameworks (e.g., TensorFlow, PyTorch) and NLP/computer vision is a plus.
• Ability to build dedicated dashboards and visually communicate insights (using tools like Tableau or PowerBI)

Preferred / Advantageous Skills

• Experience with healthcare systems (e.g., EMR such as EPIC/NGEMR).
• Exposure to medical imaging or clinical NLP.
• Experience in leading AI projects or mentoring junior team members.
• Knowledge of data engineering and pipeline architecture in healthcare environments.