Bioinformatics Research Analyst (Hybrid) - Neurology

Scheduled Hours 40 Position Summary The Albanus Lab in the Department of Neurology is searching for a Bioinformatics Research Analyst. The successful candidate will be involved in projects integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and personalized medicine. The candidate will assist with ongoing lab research and support collaborations. Job Description Provides critically complex research and experimentation for department(s) allowing the advancement of scientific analysis and discovery. Serves as a subject matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Primary Duties & Responsibilities Implements algorithms and computer software for analyzing omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical) and data management and analysis solutions that aid in the storage, investigation and dissemination of large data sets. Coordinates research project with other investigators and institutions. Participates in developing hypotheses and experimental design. Assists with reporting of methods, data and results. Working Conditions Job Location/Working Conditions Works in a laboratory environment with potential exposure to biological and chemical hazards Must be physically able to wear protective equipment and to provide standard care to research animals Normal office environment. Physical Effort Typically sitting at desk or table. Repetitive wrist, hand or finger movement (PC Typing). Equipment Office equipment. Required Qualifications Education: Bachelor's degree or combination of education and/or experience may substitute for minimum education. Certifications/Professional Licenses: No specific certification/professional license is required for this position. Work Experience: Relevant Experience (2 Years) Skills: Not Applicable Driver's License: A driver's license is not required for this position. Preferred Qualifications Education: Master's degree Certifications/Professional Licenses: No additional certification/professional licenses unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Genome Sequencing, Group Problem Solving, Human Genetics, Linux, Model Organism, R Programming Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually Benefits Statement Personal Up to 22 days of vacation, 10 recognized holidays, and sick time. Competitive health insurance packages with priority appointments and lower copays/coinsurance. Take advantage of our free Metro transit U-Pass for eligible employees. WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%. Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more! Family We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered. WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. EEO Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. #J-18808-Ljbffr Washington University