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Postdoctoral Research Scientist

Columbia University  ·  Columbia University, NY
PostdoctoralComputational Biology

Position summary

A Postdoctoral Research Scientist position in Computational Biology is available at the Center for Translational and Computational Neuroimmunology (CTCN) in the Department of Neurology at Columbia University Irving Medical Center in New York, NY. The candidate will be co-supervised by Drs. Hans-Ulrich Klein and Philip De Jager. We are looking for an enthusiastic and motivated individual to join our computational

team. Our overarching research goal at the CTCN is to identify and model molecular mechanisms that drive neurodegeneration, with a focus on Alzheimer’s disease and related dementias (ADRD). Our team develops and applies systems biology approaches to genome-wide, high-dimensional human data generated from large, well-characterized cohorts. These data are often multi-modal (genetic, epigenetic, transcriptomic,

proteomic, glycoproteomic), spanning various brain regions and peripheral tissues, and acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large, newly generated dataset from cognitively and motor-relevant tissues (prefrontal cortex, motor cortex, spinal cord, muscle) to

identify shared and distinct molecular pathways underlying cognitive and motor decline. Tissue donors underwent annual cognitive and motor testing ante-mortem and wore wearable sensors prior to death, making this dataset a uniquely rich resource for studying cognitive and motor impairment across tissues and brain regions. The ideal candidate will have a quantitative background (bioinformatics, computational biology,

biostatistics, statistics, computer science, or applied mathematics), a demonstrated interest in solving biological problems, and experience with analyzing large-scale genomic data. A Ph.D. in a quantitative discipline is required, but candidates with a Ph.D. in biology or neuroscience and extensive experience in quantitative met

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