Lead Scientist, Data Analysis

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Job ID:

450 Brookline Ave, Boston, MA 02215

Research Technician/Scientist

Employment Type:
Full time

Work Location:
Onsite:Up to 1 day remote/wk


The Department of Data Science at Dana-Farber Cancer Institute (DFCI) is seeking a lead scientist to form and oversee the data analysis team of the Translational Immunogenomics Lab (TIGL). The overall goal of TIGL is to use genomic technology to evaluate biomarkers of response and resistance to immunotherapy. One particular focus is discovering patient-specific characteristics of the immune system and how this can improve immunization therapy. Data analysis is a critical aspect of this work: TIGL uses state-of-the-art genomic technologies to assess the response of the immune system to cancer and therapy. The TIGL data analysis team, in collaboration with experts in cancer and immunology, will develop and implement the strategy for maximizing. 

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.


  • Recruit and mentor a team.
  • Collaborate with the TIGL scientists.
  • Evaluate, implement and develop the necessary tools needed for TIGL to succeed.


  • PhD in statistics, biostatistics, computer science, computational biology, or related field.
  • 5+ years of data analysis experience
  • One year of mentoring or management experience preferred

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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