The Reitz Lab and Alzheimer's Disease Research Center (ADRC) Genetics Core at the Taub Institute for Research on the Aging Brain are seeking Postdoctoral Research Scientists interested in analysis of high-throughput multi-dimensional -omics data to study neurodegeneration and diseases of the central nervous system, with emphasis on Alzheimer's disease and related dementias. The ultimate goal is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. The Taub Institute for Research on the Aging Brain at Columbia University is a world-leader in research of neurodegenerative diseases and the nucleus of a dynamic, translational, multidisciplinary endeavor bringing together Columbia University researchers and clinicians to uncover the causes of Alzheimer's, Parkinson's and other age-related brain diseases. It is renowned for its large-scale research cohorts of neurodegenerative disorders, which include various population and family-based large-scale datasets of various ancestries with deep phenotyping including clinical, neuroimaging, and fluid biomarker phenotypes.
We are seeking highly motivated researchers with strong analytical skills to join our effort and generate novel insights of neurodegeneration using these unique multi-omic datasets, while working in a highly dynamic multidisciplinary and collaborative environment. Dr. Reitz, Director of the Genetics Core and Associate Director of the Taub Institute for Research on the Aging Brain, is well funded with several grants from the National Institute of Ageing. For more information please visit:
- Analyses of GWAS, whole-exome and whole genome sequencing data of neurodegenerative disorders including blood, cerebrospinal fluid (CSF) and neuroimaging biomarkers - Analysis of other omics data (transcriptomics, proteomics, metabolomics etc)
- Composition of scientific articles
The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of 'omics' datasets. Hands-on experience with large-scale human genomic or other omics datasets is expected. The candidate would have solid skills in at least one programming language (R, python or perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity with interrogating publicly available resources will be highly beneficial.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
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