Job Opportunity: Bioinformatics Research Analyst for Genome-Wide Association Studies or Whole Genome and Whole Exome Sequencing, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
Bioinformatics Research Analyst 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 Research Analyst to work on Genome-Wide Association Studies or Whole Genome and Whole Exome Sequencing. We are seeking a self-motivated, self-driven analyst 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
- Develop computer programs to meet the needs of data collection, quality control, analysis and report generation
- Perform data analysis and writes reports
- Collaborate within cross-functional teams
- Provide analytical support for internal projects
- Maintain 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, staff and users
- Respond to data queries from Principal Investigators, staff and external collaborators
Qualifications
- Master degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics,Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related.
- Experience working in genomics with large datasets, preferably in a research environment
- Proficient in PLINK, QC, IBD, PCA; R, bash and excel (Python, Perl, SAS, SQL, Docker are a plus) or other analyses toolset.
- Working 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 )