Job: Statistician I - Department of Data Sciences, Dana-Farber Cancer Institute
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gravatar for Patrick Kimes
6 months ago by
Boston, MA, USA
Patrick Kimes0 wrote:

The Department of Data Sciences at the Dana-Farber Cancer Institute is looking to hire a masters-level Data Scientist/Statistician to work at the intersection of statistics, genomics, and cancer research. The successful applicant will have the opportunity to work on a wide range of projects with collaborators at the institute.

Interested applicants should submit their application online at the link below and also send their resume directly to Anne O'Neill.

Apply now!

Overview

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.

Responsibilities

The Department of Data Sciences at the Dana-Farber Cancer Institute is conducting a search for an experienced Master’s level Computational Biologist or Biostatistician. 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, and computing (Unix, R and Python)
  • 1-2 years of relevant 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.

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