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Washington University of St. Louis Postdoctoral Research Associate - Psychiatry - 49017 in St. Louis, Missouri

Post Doc Instructions

Please do not submit an application to this posting. To apply for this postdoctoral research opportunity, follow the directions below in “Applicant Special Instructions”.

Department Name/Job Location

This position is in the Department of Psychiatry. This position is for the Medical School Campus.

Essential Functions

The NeuroGenetics and Informatics (NGI) center at Washington University School of Medicine is recruiting a Postdoctoral Research Associate. The NGI generates and analyzes high-throughput multi-dimensional omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer’s disease, Parkinson’s disease, and other dementias. The ultimate goal of the NGI is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutic targets. Washington University School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuroimaging, and fluid biomarker phenotypes.

We have recently received several awards from the NIH, Department of Defense and private foundations to generate new molecular tools to predict and monitor neurodegenerative disease. The final goal is to create a highly specific and minimally invasive tool that can be translated to a clinical setting. We are seeking highly motivated researchers with strong analytical skills, especially in RNAseq analyses and machine learning to lead the analyses for these projects. The new postdoc will join a large and highly motivated multi-disciplinary team.

For further details, please see our website: https://neurogenomics.wustl.edu/.

Required Qualifications

  • Hold, or shortly expect to obtain, a Ph.D. qualification in genetics, bioinformatics, computer science, data science, statistical genomics or a related discipline involving the interrogation of ‘omics’ datasets.
  • Hands-on experience with large-scale human datasets with special emphasis on transcriptomic data and machine learning algorithms.
  • Solid skills in at least one programming language (R, python or perl) and experience working in Linux and/or high-performance cluster environments.
  • Strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical.
  • Writing and presentation skills will be critical to share the results with the scientific community.
  • Familiarity to interrogate publicly available resources will be highly beneficial.
  • Basic molecular biology lab skills (nucleic acid extraction, PCR, library preparation) will be highly beneficial.

Salary Range

Base pay commensurate with experience.

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://hr.wustl.edu/benefits/.

Applicant Special Instructions

Interested candidates should send their cover letter and CV to Dr. Ibanez (ibanezl@wustl.edu).

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.

Job Title: Postdoctoral Research Associate - Psychiatry - 49017

Job ID: 49017

Location: Medical School

Full/Part Time: Full-Time

Regular/Temporary: Regular

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