Research Fellow (Life Sciences Institute, Neurobiology)

Job Description

The Neurobiology Research Programme at the Life Sciences Institute, led by Professor Rickie Patani, invites applications for a highly motivated and accomplished Research Fellow to join a world-leading laboratory investigating the molecular mechanisms of motor neuron disease, with a particular focus on Amyotrophic Lateral Sclerosis (ALS).

The Research Fellow will lead a strategically designed research programme examining the intersection between genomic instability and dysregulated RNA metabolism in ALS. A central objective will be to dissect how altered RNA processing — including intron retention — contributes to neurodegenerative vulnerability.

Key Responsibilities

• Conceive, design, and execute high-impact research initiatives aligned with programme strategy.
• Establish, optimise, and oversee complex experimental platforms, ensuring rigorous methodological and analytical standards.
• Lead and mentor junior researchers and students, fostering a collaborative and inclusive laboratory culture.
• Integrate experimental and computational datasets, including high-throughput sequencing and advanced imaging analyses.
• Prepare manuscripts for submission to leading peer-reviewed journals and contribute to competitive grant applications.
• Present research findings at national and international scientific meetings.
• Contribute to teaching activities within NUS, supporting curriculum development linked to translational neuroscience.
• Maintain exemplary standards of data management, compliance, and laboratory governance.

Qualifications

Applicants should hold a PhD in Neuroscience, Biomedical Sciences, or a closely related discipline, with demonstrated expertise in ALS research or related neurodegenerative disorders.

Essential experience includes:

• Human iPSC culture and differentiation into neural subtypes
• Advanced molecular biology techniques
• High-throughput data analysis (e.g., RNA sequencing, imaging datasets)
• Experience with ALS-relevant mouse models

Desirable experience:

• Human post-mortem tissue analysis
• Computational biology and bioinformatics (coding proficiency preferred)
• Supervision of postgraduate or early-career researchers

Candidates must demonstrate:

• A strong publication record in high-impact peer-reviewed journals
• Evidence of scientific independence and international visibility
• Excellent organisational, communication, and leadership skills
• Commitment to mentoring and fostering an inclusive research environment