Job description

Job ID:
34301

Location:
450 Brookline Ave, Boston, MA 02215

Category:
Fellowships

Employment Type:
Full time

Work Location:
PTL Remote: 2-3 days remote/wk

Overview

We are looking for a Postdoctoral Fellow with background and interest in machine learning and artificial intelligence generally, and in (medical) image processing specifically, to work on applications of deep learning and conventional image analysis techniques to medical images and text (i.e., multi-modal learning). The clinical focus of this Dana-Farber internally funded project entails methods to assist radiologists in detection and classification of various cancer-related pathologies and to assist radiologists in error reduction during image interpretation.

We are a cancer-imaging focused multi-disciplinary research team composed of primarily Dana-Farber Cancer Institute (DFCI) and Brigham and Women's Hospital (BWH) faculty. DFCI and BWH are teaching hospitals affiliated with Harvard Medical School and located in the Longwood Medical Area in Boston, Massachusetts.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

The successful candidate will work closely with Dr. Shinagare and other select faculty in the department of imaging on machine learning, medical image and multi-modal modeling. The work will include clinical and image data acquisition, image pre-processing and segmentation, as well as using natural language processing. Imaging background is strongly preferred and experience with machine learning and deep learning models is a plus.

Qualifications

The project is funded for at least 1 year with the potential for extension. The ideal candidate will have an MD, PhD, or the equivalent degree.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

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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