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"Postdoctoral Research Associate (Proteomics and Multi-omics in Neurodegeneration) - Psychiatry"

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Postdoctoral Research Associate (Proteomics and Multi-omics in Neurodegeneration) - Psychiatry

Position Summary

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.

Job Description

Primary Duties & Responsibilities:

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Working Conditions:

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range:

Base pay is commensurate with experience.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.

Certifications:

No specific certification is required for this position.

Work Experience:

No specific work experience is required for this position.

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

Required Qualifications:

  • 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 omics (preferably related to neurodegeneration) studies is expected.

Preferred Qualifications:

  • Skilled 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 to interrogate publicly available resources will be highly beneficial.

Preferred Qualifications

Education:

No additional education unless stated elsewhere in the job posting.

Certifications:

No additional certification unless stated elsewhere in the job posting.

Work Experience:

Research (1 Year), Postdoctoral In Genetics, Biochemistry, Molecular Biology, Cell Biology, Or A Related Field (1 Year)

Skills:

Analytical Thinking, Biomarkers, Data Analysis, Genomics, Metabolomics, Molecular Biology, Neurodegenerative Diseases, Predictive Modeling, Proteomics, Researching, Transcriptomics, Work Collaboratively

10

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