Job
Postdoctoral Research Analyst
Organization
Washington University School of Medicine-Cruchaga Lab, St. Louis, Missouri, United States
Scientific focus area
Neuroscience, Genetics and Genomics
The Cruchaga lab at Washington University School of Medicine is recruiting multiple Postdoctoral Research Scientist. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study neurodegeneration and diseases of the CNS 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, define novel biomarkers, and identify novel therapeutic targets.
About the position
We are seeking for 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. The new postdoctoral fellow/s will join a large team, currently twenty members, which is led by three faculty members and three senior scientists.
Dr. Cruchaga’s lab is well funded with several grants from the National Institute of Ageing, the CZI and ongoing collaboration with the pharma industry. 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
- Multi-omics data integration with genomics, transcriptomics and methylomics data
Apply for this vacancy
What you'll need to apply
Please submit CV and cover letter to Christi Gleason cgleason@wustl.edu
Contact name
Christi Gleason
Contact email
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.
- A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected.
- He/she would have solid skills 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.
Disclaimer/Fine Print
This is an in-person position only.
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