Job Opportunity: Bioinformatics Scientist for Genome-Wide Association Studies or Whole Genome and Whole Exome Sequencing, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
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 or 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 multidimensional 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 multiomic 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
Interested candidates please send cover letter and resume to Oscar Diaz Ruiz, Ph.D., Program Manager.
( doscar@wustl.edu )