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Division of Cardiology: Postdoctoral Scholar

University of Washington
Full-time
On-site
Seattle, Washington, United States
IT

The Division of Cardiology, Department of Medicine at the University of Washington, has a Postdoctoral Scholar position available to study genetic cardiomyopathies with deep mutational scanning techniques using human induced pluripotent stem cells (iPSCs). This is an exciting, collaborative project involving genetics, cardiology, and stem cell biology. Candidates should be highly motivated and have demonstrated experience in molecular biology and cell culture. Experience with iPSCs is not mandatory but desirable. This position will primarily be in Dr. Daniel Yang’s laboratory with the opportunity to be co-mentored by both Drs. Daniel Yang and Chuck Murry.

This is a full-time Postdoctoral Scholar position on an annual, 12-month appointment with an anticipated start date of March 1, 2024.  Postdoctoral Research are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.

We are interested in how cardiomyocytes remodel in acquired and genetic cardiomyopathies. The project involves using biomechanical assays to understanding how cardiomyopathies develop and use novel methods to improve cardiac function via gene editing or small molecules.  

The base salary range for this position will be $5,705 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. 



The successful candidate must have a Ph.D. or equivalent degree relevant to biological science with less than 3 years of post-doctoral training. Experience in the cardiovascular field is preferred, but not required. The successful applicant will design and perform experiments, write manuscripts and participate in Departmental and extramural scholarly activities. Applicants are expected to apply for internal and external funding after obtaining preliminary data. The ideal candidate will have excellent technical and communication skills and willingness to work well with others.