(Senior) Executive / Assistant Manager (Data Scientist), Division of Neurology (Contract)

National University Polyclinics; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading healthcare institution in Singapore seeks a (Senior) Executive / Assistant Manager (Data Scientist) to develop AI solutions and manage healthcare data pipelines. The ideal candidate has a Master's or PhD in a relevant field, experience with large language models, and strong Python coding skills. The role requires collaboration with researchers and clinicians to translate AI into clinical workflows. This position is crucial for impactful healthcare data applications.

Qualifications

• MSc/PhD preferred in a relevant field.
• Experience with LLMs and NLP in healthcare is a plus.
• Able to work independently and meticulously.

Responsibilities

• Design and maintain pipelines for healthcare data management.
• Develop and validate LLM and GenAI models.
• Collaborate to design study protocols and analytics.

Skills

Hands-on experience with large language models (LLMs)

Strong coding skills in Python

Familiarity with LangChain or other agent frameworks

Experience working with clinical data

Education

Minimum Degree (MSc/PhD preferred) in Computer Science, Biomedical Informatics, AI or related field

Tools

Python

PyTorch

HuggingFace

Job description

(Senior) Executive / Assistant Manager (Data Scientist), Division of Neurology (Contract)

Job ID: 9207

Job Function: Administration

Institution: National University Hospital

Overview:

To provdie end-to-end support for Principal Investigator (PI) and co-investigators in the development and deployment of advanced analytics, with a focus on data cleaning, large language models (LLMs), and generative AI solutions. This role bridges technical expertise, applied research, and healthcare impact, ensuring high-quality data pipelines and clinically meaningful AI outputs.

Job Responsibilities:

• Data Management & Cleaning – Design, implement, and maintain robust pipelines for extracting, cleaning, and transforming multimodal healthcare data (EMR, imaging, sensor, chatbot).
• Model Development (LLM/GenAI) – Develop, fine-tune, and validate LLM and GenAI models for clinical, operational, and research use cases.
• Research & Innovation Support – Collaborate with PI and co-investigators to design study protocols, analytics pipelines, and publications.
• Deployment & Scalability – Work with engineering/IT to deploy models on secure platforms (AWS, Synapxe, HCC, HEALIX), ensuring compliance with PDPA, HSA, and MOH AI governance.
• Cross-Disciplinary Collaboration – Work with clinicians, researchers, and external collaborators to translate AI into clinical workflows.

Job Requirements:

• Minimum Degree (MSc/PhD preferred) in Computer Science, Biomedical Informatics, AI or related field.
• Hands-on experience with large language models (LLMs), transformers, or healthcare Natural Language Processing (NLP).
• Familiarity with LangChain, or other agent frameworks.
• Strong coding skills in Python with ML frameworks (e.g. PyTorch, HuggingFace).
• Experience working with clinical data or in healthcare AI settings is a plus.
• Able to work independently and meticulously.