Bioinformatics Scientist for Whole Genome and Whole Exome Sequencing

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Bioinformatics Scientist for Whole Genome and Whole Exome Sequencing

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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

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 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

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

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