About The Position

The Cruchaga lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of the lab is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated researcher with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. Will join a large team, currently twenty members, which is led by three faculty members and three senior scientists. Our current research projects include the analyses of: Plasma, CSF and Brain Proteomic and metabolomics analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data.

Requirements

  • Ph.D., M.D. or equivalent terminal or doctoral degree.
  • Hands-on experience with large-scale human omics studies, preferably related to neurodegeneration.

Nice To Haves

  • Skilled in at least one programming language (R, Python, or Perl).
  • Experience working in Linux and/or high-performance cluster environments.
  • Strong analytical reasoning skills to extract biological insights from data.

Responsibilities

  • Generate and analyze high-throughput multi-omic data.
  • Study neurodegeneration and diseases of the central nervous system.
  • Identify novel biomarkers and therapeutical targets.
  • Integrate genetics with omic data to identify proteomic signatures.
  • Develop predictive models for neurodegenerative diseases.
  • Analyze brain, CSF, and blood multi-omic data.
  • Work collaboratively in a multidisciplinary environment.

Benefits

  • Comprehensive and competitive benefits package.
  • Eligibility subject to employment status and workload.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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