Data Science Statistician Dana-Farber Cancer Institute Boston, MA Full-Time
The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for an experienced Master’s level Data Science Statistician with strong training and experience in statistical principles and computational biology and/or genomics.
Requirements: This person will collaborate with medical and basic science researchers in design, pipeline processing, analysis, and publication of cancer studies involving genomics data.
Qualifications: Master’s level degree in Computational Biology or Biostatistics, strong background in statistical principles, data analysis, genomics pipelines, computing (Unix, R and Python), and communication skills.
About Dana-Farber Cancer Institute: 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.
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.
About Dana-Farber Cancer Institute
Since its founding in 1947, Dana-Farber Cancer Institute in Boston, Massachusetts has been committed to providing adults and children with cancer with the best treatment available today while developing tomorrow's cures through cutting-edge research.