The Molecular Biophotonics Lab, directed by Professor Jonathan Liu at the University of Washington, Seattle, invites applications from outstanding postdoctoral candidates for translational research in computational 3D pathology. Our lab is funded by the NIH, DoD, NSF, and various foundations, with affiliations with the departments of mechanical engineering (primary), bioengineering, and the department of laboratory medicine & pathology in the school of medicine. https://washington-seattle.digication.com/jonliu/
Postdoctoral scholars will innovate at the interfaces between high-resolution optical instrumentation, tissue-clearing/labeling strategies, machine-learning-based image analysis, and clinical validation. In recent years, our lab has been pioneering the development of open-top light-sheet (OTLS) microscopes, and related technologies, for high-throughput volumetric imaging of whole biopsies and large clinical specimens. Existing research activities include the development of prognostic assays based on the computational analysis of large 3D pathology datasets, and the development of 3D-microscopy-based imaging platforms for surgical guidance and rapid analysis of fresh specimens. In particular, we have several funded projects to develop the technologies for 3D pathology with big-data analysis to mitigate healthcare disparities in underserved populations, and to enable all individuals to receive precision treatments that are optimized for their unique disease (i.e. preventing overtreatment and undertreatment).
We are seeking postdoctoral candidates with optical-instrumentation backgrounds and strong computational skills and interests (e.g. Python programming and biostatistics fundamentals). We are also seeking candidates with image-based machine-learning skills, and big-data experience (e.g. GPU acceleration, cloud computing), especially for developing clinical classifiers of risk and treatment response. Candidates should be familiar with, or willing to perform, basic wet-lab and tissue-culture procedures.
The College of Engineering and School of Medicine at UW are making large research investments in biomedical imaging and analysis, including a cluster of faculty hires in this area over the next few years. Research activities include high-resolution imaging instrumentation, sample/patient-preparation technologies, advanced visualization techniques, machine learning for big-data image analysis, and imaging-based interventions (including robotics and automation). Postdoctoral scholars will be able to take advantage of the competitive advantages in healthcare, biotechnology, and data sciences that exist within the University of Washington and the surrounding region, including (but not limited to): UW Medicine, Fred Hutchinson Cancer Center, VA Puget Sound health care system, Seattle Children’s Hospital, the Allen Institutes, and numerous companies leading the big-data revolution. Our ultimate goal is to leverage our collective expertise to address critical challenges in clinical care, health equity, and social transformation.
Applicants must have a PhD (or other foreign equivalent) in a relevant engineering, applied physics, data science, or health-science discipline.
Applications should include a brief cover letter summarizing their relevant background and research/career interests, as well as a detailed CV. Names and contact information should be provided for at least three references. Please submit applications to: email@example.com