Job Opportunities API

Job Title This role will work as part of a team and participate in several projects related to pain processing in mice and humans. Job Description Primary Duties & Responsibilities: • Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; 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. More About This Job WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles. 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, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Model Organism Grade R09 Salary Range $41,700.00 – $75,600.00 / 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. 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. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ 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. Tagged as: Life Sciences