The Division of Medical Physics within the Department of Radiation Oncology at University of Washington School of Medicine in Seattle, WA is currently recruiting a postdoctoral scholar in imaging data science under the supervision and mentorship of Dr. Stephen R. Bowen, Associate Professor of Radiation Oncology and Radiology (joint). We are seeking highly motivated individuals with strong track records of research in computational image analysis, computer vision, or machine learning. The successful candidate will participate in NIH-funded research projects on multimodality molecular and functional imaging for biomarker response-adaptive radiation therapy and immunotherapy within precision oncology. Specific applications include multiscale and spatially variant imaging-based treatment response prediction and (deep) machine learning of radiomic data for clinical outcome modeling. Imaging datasets will be collected, curated, and analyzed within the operational framework of several ongoing clinical trials. The postdoctoral scholar will gain experience conducting imaging trials of cancer therapy planning and response assessment, including the direct integration of functional imaging into radiotherapy planning for tumor dose escalation and normal tissue avoidance. They will apply data science techniques that pertain to efficient dimensionality reduction and feature selection, algorithm development using representation / structured / reinforcement learning architectures, robust prediction model validation, and spatio-temporal optimization of image-guided therapy. The postdoctoral scholar will join a diverse multidisciplinary research team of faculty / residents / postdocs / scientists / students / coordinators spanning radiation oncology, radiology, medical oncology, systems / industrial engineering, computer science and biostatistics. They will receive structured mentorship and evaluation, including career development planning and grantsmanship training during the pursuit of extramural research funding.
A plethora of resources are available for the successful candidate to conduct imaging data science research in the Department of Radiation Oncology and jointly in the Department of Radiology. Relevant molecular and functional imaging technology includes GE Discovery MI PET/CT (5-ring detector system covering 25 cm axial FOV), GE Discovery 870 NM/CT, GE Revolution DE CT, and Philips 1.5T / 3.0T Ingenia MR scanners. Radiation treatment planning is conducted in RayStation 8B for delivery of SBRT / IMRT / VMAT on Elekta Infinity / Agility MLC linear accelerators and RayStation 9A for delivery of PBS / IMPT on IBA Proteus Plus proton therapy beamlines. Dedicated clinical and research RT DICOM PACS servers and image processing via MIM 6.8.8 are deployed over Citrix and Remote Desktop applications. Research servers are connected to MIM RT PACS and house software for data science analytics, including MATLAB, R / R studio, Python, 3D Slicer, OriginPro, Orange, and KNIME installations.
The University of Washington School of Medicine is home to 27 departments in the clinical and basic sciences. UW Medicine comprises eight entities: UW Medical Center, a 450-bed tertiary care facility with a full spectrum of medical care, teaching and research resource; Harborview Medical Center; Northwest Hospital & Medical Center; Valley Medical Center; UW Neighborhood Clinics; and Airlift Northwest, and includes over 80 outpatient clinics and multidisciplinary specialty centers. It further includes the newly expanded biotechnology and medical research hub in the UW Medicine South Lake Union Campus, housing over 600 scientists.
The Seattle Cancer Care Alliance / University of Washington Medicine Oncology Program is an NCI-designated Comprehensive Cancer Center that consistently ranks in the top 10 nationally. Outpatient clinical cancer care is delivered through Seattle Cancer Care Alliance Clinics, University of Washington Medicine Clinics, and Seattle Children's' Hospital; inpatient care is delivered through the University of Washington Medical Center (UWMC). Clinical and translational oncology research is overseen by the University of Washington / Fred Hutchinson Cancer Consortium Institutional Review Board.
The Department of Radiation Oncology consists of 55 faculty--including physicians, advanced practice providers, physicists and research faculty--in addition to an extensive staff of radiation therapists, dosimetrists, engineering support, laboratory assistants, nurses, and patient care coordinators. Training programs include 10 radiation oncology residents, 1 proton therapy fellow, 1 SBRT fellow, 4 radiation oncology physics residents, and 4 senior research fellows.
Process images per clinical trial protocols and research grant methodology
Ensure high fidelity curation of an imaging research RT PACS database
Maintain / update documentation of standard operating procedures
Work with clinical research coordinators to maintain / update clinical research databases
Train and validate machine learning algorithms of imaging data for decision support
Submit conference abstracts and scientific manuscripts for peer review
Contribute towards progress reports on grant-funded projects
Assist in grant writing and manuscript review as a learning process
Provide feedback on related projects within the research group
Experience with imaging data science analytics, including radiomics, machine learning, and deep learning approaches.
Mastery in one or more of the following scientific computing languages: Python, R, MATLAB, or related visual / object-oriented programming.
Familiarity with clinical oncology research and clinical trials.
Publication of peer-reviewed scientific journal articles on novel imaging data science methodologies or applications.
The duration of the initial postdoctoral scholar appointment is contractually guaranteed for 1 year with the opportunity to renew / extend the appointment in future years depending on progress, interest, and funding and has an anticipated start date of April 1, 2020. Salary commensurate with education, experience and the National Institutes of Health (NIH) Minimum Salary Guidelines.
Ph.D. in Medical Physics, Physics, Computer Science, Data Science, Bioinformatics, Engineering, or a related field.
Proficiency in one of the following scientific computing languages: Python, R, MATLAB, or related visual / object-oriented programming.
Excellent oral and written communication skills.
Experience with presentation of original research at professional conferences.
Publication of peer-reviewed scientific journal articles in fields related / relevant to computational / quantitative imaging or data science.
Ability to work independently and as part of a research team effort.
Applicants must submit their CV, statement of research interests and career objectives, and the names of 3 references via Interfolio
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.
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergraduate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.