Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Psychiatry. The position is located at Taylor Avenue Building. This position is for the Medical School Campus.
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:
To write and optimize analyses pipelines (scripts) for WES, WGS and RNA-seq.
Analyze data including QC, and organize the data properly.
Bachelor’s degree in computer science, bioinformatics, biostatistics, or a related field plus two years of experience; OR a master’s degree in computer science, bioinformatics, biostatistics, or a related field; OR combined education and experience of seven years.
Master's degree in statistics, bioinformatics, computational biology, biostatistics, statistical genetics, medical statistics, mathematics or similar.
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.
Five years of experience in research lab operations or an equivalent combination of education and experience equaling twelve years.
The hiring range for this position is $40,705 - $54,932 annually.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, 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.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.