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.
cBio Center at Dana-Farber Cancer Institute
We are looking for an experienced and versatile Software Engineer to work within the cBio Center at the Dana-Farber Cancer Institute to develop software for basic and cancer research and a Chan Zuckerberg Initiative Human Cell Atlas project within the Sander Lab and in collaboration with groups at Harvard Medical School. You will have the opportunity to make an impact on biological research that will influence how we view and treat human disease. Our group is passionate about developing and working with open-source technology, and we are committed to creating a collaborative academic team in a “start-up” environment.
Design and develop analysis systems, data visualization, and web services in support of the Chan Zuckerberg Initiative Human Cell Atlas in an international collaborative network. Develop and support basic and translational research projects; work closely with researchers on user requirements, software architecture, algorithms, and code implementation and perform in-depth evaluation of data and information to solve complex problems. Apply new software technologies to real-life biological and clinical problems.
Please include a short description of your interest with your resume.
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.