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.
Statisticians collaborate with scientific investigators and other statisticians in the design and analysis of clinical trials, basic translational studies, observational data from surveys, medical records, or administrative data, data from the study of genetic markers in human populations or animal models of cancer, experiments on the development of new laboratory assays and data from population-based studies. They are expert in the technical aspects of statistical theory and practice required for their work and highly trained in statistical computing. Experienced statisticians are expected to work independently, mentor and, in some cases, supervise junior statisticians.
The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute is conducting a search for an experienced Master's level Biostatistician. The biostatistician will collaborate with medical and basic science researchers in design, analysis, and publication of cancer clinical trials, translational research, and other cancer related projects.
Master's level degree in Biostatistics/Statistics
strong background in statistical principles, data analysis, computing (for example SAS and R)
strong communication skills
at least 2-3 years of experience
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.