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.
Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies.
This individual will work in conjunction with oncologists, computational biologists and research scientists to analyze cancer genomic data generated at Dana Farber using software tools within our team and by generating their own statistical analysis code.
This employee will be located at both the Dana-Farber Longwood Medical Area campus and at the Broad Institute in Cambridge.
Required: B.S./B.A. in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, python and/or Perl is required. The ability to work in teams, excellent communication and data presentation skills.
Preferred: Background in molecular genetic data. Understanding of statistical methods and working in cloud computing and UNIX environments. Knowledge of generating web portals is desirable.
We will consider May 2018 graduates.
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.