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 Bioinformatics and Data Science group at the Dana Farber Cancer Institute is seeking an intelligent, hard-working and dynamic individual to join our expanding data science team. The group encompasses expertise in data science, medical imaging, machine learning, natural language processing, ml in production, and research. The successful candidate will have proven experience in leading and executing independently large and complex imaging data science projects, and some experience in the supervision of junior staff. The group is part of the Informatics & Analytics department, that seeks to develop a highly interdisciplinary environment to support the overall mission of the Institute and contribute to maintaining superior cancer care to our pediatric and adult patient population.
We are seeking an energetic and motivated Senior Imaging Data Scientist and Data Engineer for our expanding data science team.
The successful candidate will work on a project that will leverage multi-modal samples from over 100,000+ patients.
The main objectives of the project include:
Key responsibilities of the role:
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.