Jobs

Postdoctoral Position in Parkinson's Disease

Employer

Washington University in Saint Louis

Location

Saint Louis , Missouri

Principal Investigator

Bruno A. Benitez

Contact

babenitez@wustl.edu

Description

A postdoctoral research associate position is immediately available in the Benitez Lab at the newly created NeuroGenomics and Informatics (NGI) center, in the Department of Psychiatry at Washington University in St. Louis. The role would involve conducting and leading analyses of high-throughput multi-omic data in samples from Parkinson's disease patients with in-depth phenotyping data, including clinical, neuroimaging, and fluid biomarker phenotypes. We are particularly interested in applicants with a strong background in data-driven approaches using genomic and multi-omic methods, who enjoy quantitative analysis and are motivated to deeply understand the underlying mechanism of neurodegenerative diseases like Parkinson's disease. The research will be focused on integrating genomic data and plasma, cerebrospinal fluid, and brain proteomic analysis using Mendelian randomization. The position will provide extensive opportunities for leadership, growth, and innovation.

Requirements

  • Ph.D. in computer science, bioinformatics, mathematics, statistics, or related field.
  • Excellent team communication skills and ability to collaborate with a team working on bioinformatics, statistical genomics, and genetics.
  • Demonstrated expertise in data science, including a track record of peer-reviewed publications and/or published software as the first author.
  • Fluency with the molecular biology omics stack with experience in the neurogenetic field.
  • Experience analyzing data from next-gen genomics methods, such as (but not limited to) genome-wide sequencing and proteomic profiling.
  • Experience with systems biology discovery methods including differential expression, gene network discovery, pathway enrichment analysis, Mendelian randomization.
  • Experience with data analysis in Python or R, in a Linux/Unix in a cloud-based environment.
  • Familiarity with code repositories, such as Github.
  • Desire to work in a fast-paced academic environment.