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Washington University of St. Louis Bioinformatics Scientist - Radiology - 52170 in St. Louis, Missouri

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 Radiology. This position is for the Medical School Campus. Essential Functions POSITION SUMMARY: * Use your software skills to aid human health by assistsing in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results. Work with an established School of Medicine faculty member to develop advanced computer simulations of clinical care relevant to stroke treatment, as well as deep learning tools broadly relevant to medical practice. Work is in an office environment with a strong academic culture. Candidates can expect regular guidance from sponsoring faculty and collaborators but will have substantial responsibility to design, develop, document, and maintain codebase. There will be opportunities to publish scientific manuscripts that can improve public health. *PRIMARY DUTIES AND RESPONSIBILITIES: 1. Designs, develops, and implements: * Algorithms and computer software for 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. * Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data. 2. Performs complex systems analysis of data and writes interpretative reports. 3. Evaluates commercial and academic bioinformatics software. 4. Trains other researchers on the everyday use of analysis software and research databases. 5. Assists with grant preparation and reporting of methods, data, and results. 6. Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or a 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. Preferred Qualifications * Analytical reasoning and problem solving skills. * Demonstrated working knowledge of standard research policies, procedures and equipment. * Ability to communicate in oral and written form with all levels of personnel and technical publications. * Ability to work well independently or as a team member. * Expertise in Python coding, and extensive familiarity with Matlab, deep learning toolkits (e.g., TensorFlow, Keras), and Linux. Salary Range The hiring range for this position is $53,830 - $72,675 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. Job Title: Bioinformatics Scientist - Radiology - 52170 Job ID: 52170 Location: Medical School Full/Part Time: Full-Time Regular/Temporary: Regular