Postdoctoral Research Associate


Washington University School of Medicine - Neurogenomics and Informatics Center


St. Louis, Missouri

Principal Investigator

Laura Ibanez


Interested candidates should send their cover letter and CV to Dr. Ibanez (


The NeuroGenetics and Informatics (NGI) center at Washington University School of Medicine is recruiting a postdoctoral research scientist. The NGI generates and analyzes high-throughput multidimensional 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.

WashU has 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. WashU is 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:


This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits:

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.


  • The successful applicant will hold, or expect to shortly 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 is expected.
  • 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.
  • 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.