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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
