The Garcia laboratory in the Department of Medicine at the University of Washington and the VA Puget Sound is looking for a highly motivated postdoctoral fellow, who is interested in studying signaling networks related to mitochondria and muscle wasting in cancer patients and in skeletal muscle samples.
The research team is interested in elucidating comprehensive signaling networks that control muscle mass and function with the goals to identify and characterizing novel mechanisms of muscle atrophy in the setting of cancer. We are particularly interested in the role of mitochondria and hormonal signaling including androgens. The postdoctoral fellow will work in a highly interactive laboratory environment and collaborate with clinical experts, molecular biologists, and biochemists.
See Dr. Garcia's bio and prior publications for more information:
Faculty at the University of Washington engage in teaching, research and service. This is a 12-month full-time position with the title of Senior Fellow or Senior Fellow Trainee.
Salary is based on the NIH scale and determined by the number of full years of relevant postdoctoral experience.
Direct inquiries and questions to: Dr. Jose Garcia, firstname.lastname@example.org
Anticipated start date would be July 2019.
Applicants should have a Ph.D. degree or equivalent in the field of the life sciences, a strong publication record, and good spoken/written communication skills.
Competitive candidates will have expertise in: 1) Clinical/translational research, 2) Muscle metabolism and mitochondrial function, and 3) molecular biology in cancer or metabolic diseases.
Interested and qualified applicants should apply via Interfolio (link below). Please submit a cover letter, CV, and contact information for 3 references
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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