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Position: Bioinformatics Research Analyst
Institution: Washington University in St. Louis
Location: St. Louis, Missouri, United States
Duties: To write and optimize analyses pipelines (scripts) for WES, WGS and RNA-seq; Analyze data including QC, and organize the data properly; Perform genetic statistical analyses perform analyses; Create reports of the analyses
Requirements: Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years; The candidate should have a strong background in GWAS (PLINK and SKAT-O), and WES/WGS (BWA, GATK) or RNA-seq analyses (STAR, SALMON, KALLISTO, DESEQ2); A working knowledge of UNIX, Perl/Python, R and Docker
   
Text: Previous in List Next in List Job Details Job Title Bioinformatics Research Analyst - Psychiatry - 48063 Job ID 48063 Location Medical School Full/Part Time Full-Time Regular/Temporary Regular Job Type/Schedule 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. Essential Functions POSITION SUMMARY: 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. She/he 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. The candidate will hold a master in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in GWAS (PLINK and SKAT-O), and WES/WGS (BWA, GATK) or RNA-seq analyses (STAR, SALMON, KALLISTO, DESEQ2). A working knowledge of UNIX, Perl/Python, R and Docker are also required. 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. Perform genetic statistical analyses perform analyses. Create reports of the analyses. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years. Preferred Qualifications The candidate will hold a master in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in GWAS (PLINK and SKAT-O), and WES/WGS (BWA, GATK) or RNA-seq analyses (STAR, SALMON, KALLISTO, DESEQ2). A working knowledge of UNIX, Perl/Python, R and Docker. Five years of experience in research lab operations or equivalent combination of education and experience equaling 12 years. Salary Range The hiring range for this position is $40,705 - $54,932 annually. Pre-Employment Screening 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. Benefits This position is eligible for full-time benefits. Please click the following link to view a summary of benefits: https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7. EOE Statement 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.
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