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National University of Singapore
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Postdoctoral Research Fellow in Bioinformatics and Computational Biology for ALS Research National University of Singapore in Singapore
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
Singapore
University
National University of Singapore
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About this position
The Patani Lab at the National University of Singapore is recruiting a Postdoctoral/Research Fellow in bioinformatics and computational biology to study the molecular and cellular mechanisms underlying motor neuron disease (amyotrophic lateral sclerosis, ALS).
The project uses patient-derived human induced pluripotent stem cell models and relevant cell types, including motor neurons, astrocytes and microglia. The researcher will investigate motor neuron degeneration, with particular emphasis on genomic instability and RNA metabolism, using advanced molecular methods and sequencing approaches.
The fellow will join a dedicated multidisciplinary team and collaborate with experimental and data scientists. The work includes designing computational projects, developing quantitative and analytical strategies, analysing complex biological datasets, supporting experimental validation, interpreting results biologically and contributing to publications and conference presentations. Collaboration with the Boulton Lab at the Francis Crick Institute provides an additional research connection.
The role offers opportunities to develop scientific and analytical independence while contributing to a diverse scientific community at NUS. Responsibilities also include documenting research, presenting findings, contributing to multidisciplinary projects, and training or supervising students and staff on relevant techniques and experimental protocols.
Funding details
Available
What's required
Applicants must hold a PhD in bioinformatics, computational biology, statistics, biostatistics, applied mathematics, quantitative biology, or a closely related discipline. They should have a strong research track record appropriate to career stage, including first- or co-first-author publications showing substantial intellectual or quantitative contributions. Applicants must be able to independently design and conduct rigorous computational or statistical investigations; analyse complex biological datasets from raw data through statistical analysis, biological interpretation and publication; apply strong foundations in statistics and quantitative reasoning, including experimental design, confounding, multiple testing, uncertainty and model validation; develop, adapt or critically evaluate computational or statistical approaches beyond established pipelines; and work closely with experimental scientists to translate biological questions into analytical strategies and computational findings into experimentally testable hypotheses. Experience as a statistician, bioinformatician or computational biologist is relevant.
How to apply
Apply through the National University of Singapore careers portal using the “Apply now” option for Req ID 34941.
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