Postdoc for Alzheimer Disease Research

Employer
Washington University School of Medicine
Location
Saint Louis, Missouri
Salary
Full-time postions with benefits
Posted
February 02 2021
Position Type
Full Time
Organization Type
Academia

The NeuroGenomics and Informatics Center (NGI) at Washington University School of Medicine is recruiting postdoctoral research scientists.

The goal of the NGI is to identify risk and protective variants, create prediction models and identify drug targets for Alzheimer disease (AD), Parkinson’s disease (PD), and other neurodegenerative traits. To do this the NGI generates and analyzes high-throughput, multi-dimensional, multi-omic data.

Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes. The NGI has pioneered the implementation of whole-genome sequencing, genetic analyses of traditional cerebrospinal fluid (CSF) biomarkers, and Mendelian randomization approaches to identify the genetic architecture of neurodegeneration. We currently employ deep molecular profiling, including WGS, RNA-seq, proteomic, metabolomic, and lipidomic analyses of brain, CSF, and plasma to profile a large collection of well-characterized samples at the molecular level.

We are seeking highly motivated researchers who have received their PhD, or expect to soon. We provide competitive compensation, training, and extensive opportunities for leadership, growth, and innovation.

  • We have recently received several NIH R01 awards to fund the generation and analysis of large WGS datasets for both familial AD and sporadic early-onset cases.  We are seeking highly motivated researchers with strong analytical skills, especially in genetics and WGS/WES, to lead further analyses for these projects.
  • We have pioneered the use of biomarker levels (CSF Aβ, Tau, p-Tau, TREM2, and amyloid imaging) as quantitative traits for genetic studies. We lead several large, international collaborations to use these endophenotypes to identify novel genes and pathways implicated in AD and PD. We are seeking postdocs with expertise in GWAS, pathways analysis, GCTA, LDSC, and Mendelian randomization to lead this project.
  • We have performed some of the first, and largest multi-tissue analyses using multi-omics approaches of AD subtypes. These ongoing projects are focused on integrating genomic data with plasma, CSF, and brain proteomic, metabolomic, and lipidomic analyses using Mendelian randomization. We are seeking applicants who have a strong background in data-driven approaches using genomic and multi-omic methods, enjoy quantitative analysis, and are motivated to deeply understand the underlying mechanism of neurodegenerative diseases like AD and PD to lead this project.

Detailed descriptions of open searches can be found here: https://neurogenomics.wustl.edu/positions.

Keywords: Alzheimer's disease, Parkinson's disease, dementia, frontotemporal dementia, neuroscience, neurodegeneration, bioinformatics, computational biology, statistics, programming

Pre-Employment Screening,

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits

This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits:  https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7.

EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.