This position is for a postdoctoral scholar who will be an active member and participant in the laboratory of Dr. Manuel Ferreira. Human tumor tissue and cell line based models will be used. The position will continue to lead the laboratory efforts in molecular techniques. Specifically, DNA, RNA and proteomic based identification of pathways of oncogenesis will be a priority of this effort. Interpretation of genome/exome sequencing, RNA sequencing and proteomic techniques and translational experiments in situ are essential. Functional validation using cell based assays are also essential to this effort. It is expected that the position will work independently but also collaboratively with all members, post-docs and trainees in the lab. The position will also assist in the preparation of grant reports and grant proposals. Grant funding, both independent and collaborative (with Dr. Manuel Ferreira) are the focus of the position's efforts in the laboratory.
This appointment to the faculty as a Senior Fellow entails no formal teaching responsibilities; however, the position will be expected to assist in training laboratory personnel (postdoctoral fellows, students, and technicians). Academic staff members at the University of Washington are expected to engage in productive research, and to seek publication of their results in peer-reviewed research journals.
Estimated start date is September 2nd, 2019.
Eligible applicants should have a Ph.D. in a related field, or foreign equivalent. Salary will be commensurate with research experience and based on the NIH guidelines for postdoctoral trainees.
Please submit a CV and Cover Letter for review.
For more information, please contact Dr. Manuel Ferreira at email@example.com.
Equal Employment Opportunity Statement
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.
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