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.
The Department of Data Sciences is currently seeking a Computational Biologist to participate and collaborate in processing a variety of immuno-oncology assays, integrating clinical data, and ensuring rapid computational analysis for co-author publications. Additionally, the Computational Biologist will be responsible for liaising and assisting faculty, research staff, and other stakeholders in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, or proteomic studies.
As a member of the Dana-Farber Department of Data Sciences you will be affiliated with the CIO Computational Biology Group. In addition to working with PIs, clinicians, scientists at the CIO, including CIO Director, Dr. F Stephen Hodi, you will also be collaborating with Prof. X Shirley Liu and the cBio Center at Dana-Farber, on the NIH-funded CIMAC and CIDC consortium (https://cimac-network.org/).
The Center for Immuno-Oncology (CIO) at the Dana-Farber Cancer Institute is a multi-disciplinary group dedicated to the discovery, development, and first-in-human clinical trials of novel immunotherapies. The CIO utilizes cutting-edge technologies such as high-throughput RNA and DNA sequencing, mass cytometry (CyTOF), immunofluorescence imaging, and advanced bioinformatics methodologies and analysis.
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.