Washington University in St. Louis
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 Whole Genome and Whole Exome Sequencing. 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
- 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 GATK pipeline, VCF Tools, PLINK, annotation packages, 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, MANTRA, Mendelian Randomization, Coloc, QTL, SKAT 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. ( doscar_at_wustl.edu )