• Research Fellow

    Location US-MA-Boston
    Job Posted Date 2 weeks ago(11/1/2018 4:34 PM)
    Job ID
    2019-12965
    Category
    Fellowships
    Type
    full time
    Grade
    41
  • Overview

    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.

    Responsibilities

    We are looking for a candidate with a completed (or almost completed) PhD degree (or equivalent) in Computer Science, Data Science, Artificial Intelligence, (Biomedical) Engineering, Machine Learning, or related subject. Significant experience developing and testing deep learning networks is required, and experience in medicine is a plus. Familiarity with the state-of-the-art in the literature and beyond, as well as the eagerness to test and improve existing AI implementations. Demonstrated publication record in top-tier journals/conferences is required. Mastery of python and expertise with at least one deep learning framework (Tensorflow, PyTorch ..etc). Interest in medical applications and collaborating with medical professionals are essential. This position is located in Boston and the postdoctoral fellow will be appointed at Harvard Medical School.

    Qualifications

    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.

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