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Washington University of St. Louis Postdoctoral Research Associate - Medical Oncology - 51692 in St. Louis, Missouri

Post Doc Instructions Please do not submit an application to this posting. To apply for this postdoctoral research opportunity, follow the directions below in “Applicant Special Instructions”. Department Name/Job Location This position is in the Department of Internal Medicine, Division of Oncology. This position is for the Medical School Campus. Essential Functions A postdoctoral position is open immediately in the laboratory of Dr. Li Ding at Washington University School of Medicine in St. Louis, MO. We are looking for a highly motivated computational biologist to join our interdisciplinary team of research biologists, medical doctors, engineers, mathematicians, and computer scientists studying cancer and other human diseases. We are at the forefront of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches to advance precision medicine, we have made important contributions to a number of large scale cancer genome studies, including TCGA, ICGC, CPTAC, PDXNet, and HTAN. We have also created various cancer and other diseases models that are valuable in studying the etiology and treatment for these devastating diseases. We combine in vivo, ex vivo, and in vitro methods to study the pathogenic mechanisms in a multi-disciplinary manner. Ongoing projects in our laboratories involve cancer proteogenomics, molecular circuitry regulating tumorigenesis, pathogenesis of human diseases, and functional genomic studies based on new discoveries from next generation sequencing. The successful candidate will participate and lead research projects using computational biology approaches to address questions that are both fundamental in biology and highly relevant in the clinic. Further information about our research can be found here: http://dinglab.wustl.edu/. Required Qualifications * Recent Ph.D./MD degree in a relevant field. * Knowledge and experience in computational biology, bioinformatics, mathematics, physics, computer sciences, and related fields. Preferred Qualifications * Demonstrated ability to work independently and to communicate with laboratory staff and investigators. * Ability to generate, analyze, and organize data and reports. * Ability to give oral presentations in various settings. * Experience with computer software. * Ability to assist the preparation of manuscripts and grant applications. Salary Range Base pay commensurate with experience. 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://hr.wustl.edu/benefits/. Applicant Special Instructions Interested candidates should submit their curriculum vitae, statement of research interests and contact information of three references via e-mail to Dr. Li Ding at lding@wustl.edu. 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: Postdoctoral Research Associate - Medical Oncology - 51692 Job ID: 51692 Location: Medical School Full/Part Time: Full-Time Regular/Temporary: Regular