Postdoctoral Research Scientist
Posted 03 Feb 2021
St. Louis, Missouri
A postdoctoral research associate position is immediately available in the Benitez Lab at the newly created NeuroGenomics and Informatics (NGI) center in the Department of Psychiatry at Washington University in St. Louis. The role will involve conducting and leading analyses of high-throughput multi-omic data in samples from Parkinson's disease patients with in-depth phenotyping data, including clinical, neuroimaging, and fluid biomarker phenotypes. The lab is particularly interested in applicants with a strong background in data-driven approaches using genomic and multi-omic methods, who enjoy quantitative analysis, and are motivated to deeply understand the underlying mechanism of neurodegenerative diseases such as Parkinson's disease. The research will focus on integrating genomic data from plasma, cerebrospinal fluid, and brain proteomic analysis using Mendelian randomization. The position will provide extensive opportunities for leadership, growth, and innovation.
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: 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.
- Ph.D. in computer science, bioinformatics, mathematics, statistics, or related field.
- Excellent team communication skills and ability to collaborate with a team working on bioinformatics, statistical genomics, and genetics.
- Demonstrated expertise in data science, including a track record of peer-reviewed publications and/or published software as the first author.
- Fluency with the molecular biology omics stack with experience in the neurogenetic field.
- Experience analyzing data from next-gen genomics methods, such as (but not limited to) genome-wide sequencing and proteomic profiling.
- Experience with systems biology discovery methods including differential expression, gene network discovery, pathway enrichment analysis, and Mendelian randomization.
- Experience with data analysis in Python or R, in a Linux/Unix in a cloud-based environment.
- Familiarity with code repositories, such as Github.
- Desire to work in a fast-paced academic environment.