The NeuroGenetics and Informatics (NGI) group (https://neurogenomics.wustl.edu/) at Washington University School of Medicine is recruiting a Bioinformatics Research Analyst to work in Dr. Cruchaga lab at the Washington University School of Medicine. The NGI generates and analyzes Whole-Genome Sequencing data and high-throughput multi-dimensional omic data to study neurodegeneration and diseases of the central nervous system with emphasis on Alzheimer's disease, Parkinson's disease, and other dementias. The goal of our research is to use genomic and multi-omic approaches to understand the biology of Alzheimer's Disease, Parkinson Disease and other neurodegenerative disease. Our labs have pioneered the use of biomarker levels for Alzheimer and Parkinson disease as endophenotypes for genetic studies.
We are looking for a Bioinformatics Research Analyst with expertise in GWAS, WES/WGS and/or RNA-seq data analyses to work in a project focus on the identification of genes dysregulated in Alzheimer disease.
They will join a team of nine computational and statistical researchers working in bioinformatics, statistical genomics and genetics. The team comprises over 20 people dedicated to understanding the architecture of neurodegenerative diseases.
Primary Duties and Responsibilities
Manage research projects and work together with other group members to complete data processing and analysis following specific timelines.
Participate in meetings with other institutions and investigators.
Write and optimize analyses pipelines (scripts) for WES, WGS and RNA-seq.
Analyze data including QC, and organize the data properly.
Create reports of the analyses and prepare presentations.
Write manuscripts sections, such as material and methods and results.
Ph.D. in statistical genetics, bioinformatics, computational biology, or similar field.
Strong background in GWAS (PLINK and SKAT-O), and WES/WGS (BWA, GATK) or RNA-seq analyses (STAR, SALMON, KALLISTO, DESEQ2).
Working knowledge of UNIX, Perl/Python, R and Docker.
Knowledge of neuroscience and neurodegeneration is highly recommended.
Five years of experience in human genetics
Bachelor's degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or a master's degree in computer science, bioinformatics, biostatistics, or a related field plus two years of experience; or combined education and experience of nine years.
$51,400.00 - $93,400.00 / 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.
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.
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individualâ™s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment â“ fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.
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