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A bioinformatics Postdoc position is available in the Department of Neurology at Columbia University Irving Medical Center (CUIMC) in New York, NY (https://www.columbianeurology.org). The Postdoc will work with a team of researchers at the Taub Institute for Research on Alzheimer's Disease and the Aging Brain. The selected candidate will participate in an NIH-funded research project focus on biomarker discovery and development. This is a 2-year grant-funded position, with the opportunity of appointment extension. Previous experience in Alzheimer's disease research is not required. However, the applicant must possess some prior experience with bioinformatics in the biomedical research field, preferably with the processing and downstream analysis of "omis" data. Previous experience processing and analyzing proteomics data are especially encouraged to apply.

The candidate will develop, execute, and maintain bioinformatics pipelines to process and analyze mainly proteomic data from mouse and human biofluid samples. The ideal candidate should have a quantitative background (Biostatistics, Computational Biology, Computational Neuroscience, or Bioinformatics), and extensive experience in standard workflows for the analysis of large-scale molecular data, specifically to answer questions about "omics" alterations in human and model system data. In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is required. The candidate should have good knowledge of programming languages for implementing computational algorithms on large-scale data (R and Python).

Application and inquiries should be submitted by e-mail to Sabrina Simoes (sa2969@cumc.columbia.edu). Along with your CV, please include a cover letter describing previous work, research interests, and future goals. Please provide contact details for 2 references.

DUTIES AND RESPONSIBILITIES:

1. Responsible for processing and preparation of samples for proteomic analysis (mouse and human samples).
2. Responsible for the proteomics data processing, analysis (downsizing, normalization, imputation, scaling (e.g. z-scores), among other techniques), and visual representation.
3. Responsible for the validation of proteomic "hits" by Western blotting, electron-microscopy, ELISA-based assays, and in vitro primary neuronal cultures.
4. When required, develop analysis workflows to answer targeted questions about changes in molecular profiles in controls vs. disease state.
5. Display initiative and independence in developing novel analysis approaches in response to new questions or insight.

Requirements: PhD Degree in bioinformatics, computational biology, computational neuroscience, or biostatistics (with

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