Research Associate II

SingHealth Group; Singapore; On-site; SGD 55,000 - 75,000; Full time

Job summary

National Neuroscience Institute (NNI) within SingHealth is seeking a Research Associate II to join the Neuro-Oncology lab focusing on GBM translational research. You will support the SingHealth-Duke programme, designing experiments and analyzing data to advance therapeutic strategies.

The role requires expertise in cancer biology, cell cultures, animal handling and in vivo studies, with a strong publication record and collaborative mindset to work with the PI and team towards milestone delivery.

Qualifications

• Master’s degree in biomedical science or equivalent.
• Prior experience in laboratory cancer research.
• Animal handling experience preferred (RCULA certified).
• Experience with culture, molecular biology and real-time PCR.
• Knowledge of flow cytometry, Western blot, IHC/IF.
• Proficiency in Python or R and bioinformatics tools.
• Demonstrated scientific publications.
• Excellent analytical and communication skills.
• Detail-oriented and team player.

Responsibilities

• Independently design, troubleshoot and execute molecular biology, cell biology and biochemical experiments
• Establish and optimise functional cell-based assays
• Conduct in vivo studies using orthotopic GBM mouse models
• Document, analyse and present data clearly and logically
• Ensure adherence to ethical, biosafety and institutional guidelines
• Work closely with PI and research team to achieve project milestones
• Perform other related duties incidental to the work described herein

Skills

Cell culture

Molecular biology

qRT-PCR

Western blot

Flow cytometry

Immunofluorescence

Immunohistochemistry

Confocal microscopy

Cell-based assays

Python

R

Bioinformatics

Publications

Analytical skills

Education

Master's degree in biomedical science

Tools

RCULA certification

Job description

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National Neuroscience Institute of Singapore

Research Associate II

Job Category: Research

Posting Date: 2 Oct 2026

The Neuro-Oncology Research Laboratory at National Neuroscience Institute is dedicated to elucidating the molecular underpinnings of glioblastoma (GBM) and innovating effective and precise therapeutic strategies to improve clinical outcomes. Under the scientific leadership of both A/Profs Christopher Ang Beng Ti and Carol Tang, the laboratory has established significant milestones in setting up the NNI brain tumour resource (Glioportal) comprising patient-derived cells, orthotopic xenograft mouse models and clinical material fully annotated with deep content molecular data. This aids in facilitating the transition of cutting-edge therapeutic methods from research to clinical application.

We are seeking a motivated Research Associate to support the recently awarded Joint SingHealth-Duke Neuro-Oncology programme focusing on GBM translational research. This role offers a unique opportunity to contribute to cutting-edge cancer biology research, with the potential to directly impact therapeutic strategies for GBM patients. Expertise in cancer models especially with cell cultures, cell-based assays and animal handling is highly desirable.

Key responsibilities:

• Independently design, troubleshoot and execute molecular biology, cell biology and biochemical experiments
• Establish and optimise functional cell-based assays
• Conduct in vivo studies using orthotopic GBM mouse models
• Document, analyse and present data in detailed and logical manner
• Ensure adherence to ethical, biosafety and institutional guidelines
• Work closely with PI and research team to achieve project milestones
• Perform other related duties incidental to the work described herein

Requirements:

• Master’s degree in biomedical science, life sciences or equivalent.
• Prior experience in laboratory cancer research
• Experience working with animal (with RCULA certification) is preferred
• Familiarity with techniques like cell culture, molecular biology, quantitative real-time PCR, western blot, flow cytometry, immunofluorescence/immunohistochemistry staining, confocal microscopy and cell-based assays
• Proficiency in programming languages such as Python or R and experience with bioinformatics tools and software for multi-omic analysis is a plus
• Demonstrable scientific track record with good publications
• Possess excellent analytical, technical and problem-solving skills
• Well-organized, detail-oriented and committed to high research standards
• Excellent written and verbal communication skills
• Highly motivated team player with ability to work independently