Postdoctoral Position (Neurodegeneration Proteomics and Multiomics)

The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and associated diseases of the central nervous system, with an emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of our 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 in disease pathogenesis. We are currently analyzing brain, CSF, and blood samples, as well asmulti-omic data (transcriptomics, proteomics and metabolomics), from a large well-characterized sample collection to identify novel biomarkers that may result in causal and drug-able targets. Our current research projects include:

• Plasma, CSF and Brain Proteomic analysis
• Biomarker identification through the use of machine learning and AI
• Integration of proteomics with genetic data via MR, coloc, and FUSION, to identify mechanically casual and/or drug-able targets

We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights of neurodegeneration using this unique dataset. Postdocs will work in a highly dynamic, multidisciplinary, and collaborative environment, joining a large team of twenty members led by three faculty members and three senior scientists. Dr. Cruchaga’s lab is well funded, with several grants from the National Institute of Aging, the CZI, and ongoing collaborations with the pharmaceutical industry.

We offer competitive salaries and benefits explained here. More information on being a Postdoc at Washington University in St. Louis can be found here.

Successful applicant will:

• hold, or shortly expect to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics, or related discipline involving the interrogation of '-omics’ datasets.
• Have hands-on experience with large-scale human '-omics' studies (preferably related to neurodegeneration) .
• Maintain solid skills in at least one programming language (R, python or perl) and have experience working in Linux and/or high-performance cluster environments.
• Possess a strong ability to perform analytical reasoning that extracts biological insights from data-driven approaches
• Additional familiarity on the interrogation of publicly available data resources