Job date: 2016-05-23
End Date:
Company : Dana-Farber Cancer Institute Country : Role : Research Scientist
Job ID: 28065
Date Posted: 04/15/2016
Location: Center for Life Sciences
Job Family: Research - Laboratory
Full/Part Time: Full-Time
Regular/Temporary: Regular
FLSA Status: Exempt
About Dana-Farber
Located in Boston, 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.
Scientific Research Director - cBio Center at Dana-Farber Cancer Institute
As Scientific Research Director, play a central part in building the new interdisciplinary cBio Center at DFCI, focused on quantitative biology and knowledge systems, with collaborative links to Harvard Medical School (HMS) and the Broad Institute. We are creating an open and collaborative environment to address a range of scientific questions from basic research to clinical trials and precision medicine. Help us develop an agile and innovative program to generate scientific discoveries, serve the cancer research community with information resources and drive the next generation of cancer care. We are actively growing and plan to recruit several research and data science groups to the cBio Center over the next two years.
About the new cBio Center at DFCI
The interdisciplinary cBio Center at DFCI is headed by computational and systems biologist Chris Sander and hosted in the Department of Biostatistics and Computational Biology. Research at cBio addresses difficult and important questions about basic biology and cancer. Selected topics include overcoming resistance to targeted therapy, the design of personalized therapeutic interventions, quantitative models of evolutionary processes, as well as the prediction of protein and RNA structure, interactions and function in collaboration with the Marks lab at HMS. Our shared toolkit includes bench biology, high throughput experimental technology, and computational and data science methods, such as statistical physics and machine learning. Led by Ethan Cerami in the Center's Knowledge Systems Group, we develop enterprise-grade software and information services, such as the open source cBioPortal for Cancer Genomics, for translating research results to the clinic and build strong bridges between research and patients.
We actively promote an open and collaborative environment that values scientific integrity and reproducibility. We reward creativity, innovation and team spirit and are looking to improve the work experience and the scientific process.
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