The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, (NGI) at Washington University School of Medicine is recruiting a Bioinformatics Scientist. We are seeking an experienced, self-motivated, self-driven scientist to work as a part of vibrant group in a fast-paced environment. The new Bioinformatics Scientist should have wide and solid expertise in WES/WGS, GWAS and/or RNA-seq data analyses to work and lead several projects on the identification of genes dysregulated in Alzheimer disease. Will work in a collegial environment and join a multidisciplinary, diverse team in a well-stablished, well-funded research group, currently 30+ dynamic members, developing bioinformatics and analyzing multi omics data to explore the frontiers of neurodegenerative diseases.
The NGI generates and analyzes Whole-Genome and high-throughput multi-dimensional omics data to study neurodegenerative diseases of the central nervous system with emphasis on Alzheimer's and Parkinson's diseases. 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 and Responsibilities
Independently develop a wide variety of computer programs to meet the needs of data collection, quality control, analysis and report generation.
Lead and manage research projects and work together with junior members to complete data processing and analysis following specific timelines.
Lead complex data analysis and writes interpretative reports for Principal investigators.
Lead and collaborate within cross-functional teams.
Lead analytical support for internal projects and external collaborations.
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.
Lead the response to data queries from Principal Investigators and external collaborators.
Create reports and prepare highly technical presentations.
Write manuscripts and communications for conference presentations.
Present data in meetings and conferences.
Other duties as assigned.
Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows 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.
Experience working with structured data in SQL and NoSQL Databases.
Expert level in FileMaker Pro.
Action-oriented, resourceful, and creative individual to lead a vertical program.
Expertise in diverse bioinformatics tools for data storage and biological core management.
Previous experience working for a genomics cores with biological and clinical data.
Familiar working in cross-functional teams.
Knowledge of neuroscience and neurodegeneration, highly beneficial.
Good understanding of computational biology and flexibility to work within a large dynamic scientific team.
PhD degree in computer science, bioinformatics, biostatistics, or related field, plus six years of experience; or a master's degree in computer science, bioinformatics, biostatistics, or a related field plus ten years of experience.Â
$70,100.00 - $127,100.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
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All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
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