Postdoctoral Research Associate (rna Transcriptomics In Alzheimer's Disease) - Psychiatry

Washington University in St. Louis

St. Louis, Missouri, US
Base pyy is commensurate with experience; bonus/eq...
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Phd in statistics or bioinformatics
Second-generation sequencing analyses
Rna-seq data analysis
** Washington University in St. Louis is seeking a Postdoctoral Research Associate to analyze RNA-seq data related to Alzheimer's disease and other neurodegenerative conditions. The position requires strong analytical skills and a PhD in a relevant field, with a focus on discovering novel biomarkers and therapeutic targets. **

Job Summary

  • The position involves analyzing RNA-seq data to identify circular RNAs associated with neurodegenerative diseases like Alzheimer's and Parkinson's.
  • Candidates will join a large team of twenty members led by three faculty members and three senior scientists at the NeuroGenomics and Informatics Center.
  • The role requires maintaining conformity with ethical standards and good laboratory practices while assisting in grant preparation and paper submission.

Matching Summary

Match Score: 75

** Washington University in St. Louis is seeking a Postdoctoral Research Associate to analyze RNA-seq data related to Alzheimer's disease and other neurodegenerative conditions. The position requires strong analytical skills and a PhD in a relevant field, with a focus on discovering novel biomarkers and therapeutic targets. **

Salary

Base pay is commensurate with experience; Bonus/Equity: Not specified; Benefits: Comprehensive competitive package available

Skills & Requirements

Must-have

  • PhD in Statistics or Bioinformatics
  • Second-generation sequencing analyses
  • RNA-seq data analysis
  • circRNA focus
  • Pathways analyses
  • Biomarker discovery

Nice-to-have

  • GWAS analyses with PLINK and SKAT-O
  • Multivariate and mixed model analyses
  • Collaborative multidisciplinary environment
  • Grant preparation experience
  • Scientific writing skills

Key Requirements

  • Ph.D., M.D. or equivalent terminal doctoral degree
  • Strong background in bioinformatics or related discipline
  • Experience with RNA sequencing and circRNA analysis

Work Rights

Not specified

Tailored Resume

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