Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
The position is embedded within the radiomics research group. The mission of this group is to quantitatively extract features from imaging data sets (PET/CT, 4D-CT, MRI) to assess the correspondence with e.g. gene-expression, survival and other outcome measures of patients. A combination of automated and manual image characterization methods will be used to characterize these quantitative imaging biomarkers, using a so-called “radiomics” approach. The candidate will evaluate Artificial Intelligence methods on existing and future datasets from the United States and Europe. He will develop and evaluate novel computational imaging processing methods in strong cooperation with the departments of radiology and bioinformatics & computational biology. He will collaborate with experts in the fields of imaging, image analysis, biostatistics, machine learning, and artificial intelligence.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.