Bioinformatics Scientist for Genome-Wide Association Studies

Washinton University in St. Louis
St. Louis, Missouri, United States
Job Type:
  • Staff
Degree Level Required:
Apply Now

Bioinformatics Scientist for Genome-Wide Association Studies

The NeuroGenomics and Informatics (NGI) Center lead by Dr. Carlos Cruchaga at Washington University School of Medicine is recruiting a Bioinformatics Scientist to work on Genome-Wide Association Studies. We are seeking an experienced, self-motivated, self-driven scientist to work as a part of vibrant group in a fast-paced environment. The NGI generates and analyzes Whole-Genome and high-throughput multi-dimensional omic data to study neurodegenerative diseases of the central nervous system with emphasis on Alzheimer’s and Parkinson’s disease. The goal of our research is to use genomic and multi-omic approaches to understand the biology of Alzheimer’s and Parkinson diseases. Our labs have pioneered the use of new biomarkers as endophenotypes for genetic studies.


Primary duties • Independently develop a wide variety of computer programs to meet the needs of data collection, quality control, analysis and report generation • Perform complex data analysis and writes interpretative reports • Collaborate within cross-functional teams • Provide analytical support for internal projects and external collaborations • Improve and supervise database structure: includes updating, validating, curating and harmonizing longitudinal, cross-sectional data from different sources • Provide a centralized, confidential and secure access to phenotypic data to Principal investigators • Respond to data queries from Principal Investigators and external collaborators


Qualifications • Ph.D. degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related. • At least two years of experience working in genomics with large datasets, preferably in a research environment • Strong background in PLINK, QC, IBD, PCA; R, bash and excel (Python, Perl, SAS, SQL, Docker are a plus) or other analyses toolset. • Knowledge of association analyses, PRSice, MAGENTA, Mendelian Randomization, MANTRA, Coloc, QTL and Unix/Linux • Excellent communication and problem solving skills • Familiar working in cross-functional teams • Good understanding of computational biology and flexibility to work within a large dynamic scientific team

  • How to Apply

    Interested candidates please send cover letter and resume to Oscar Diaz Ruiz, Ph.D., Program Manager. ( )