Bioinformatics Analyst II - Armstrong Lab

Dana-Farber Cancer Institute

Job Description

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.

ASSISTANT COMPUTATIONAL BIOLOGIST position available in the laboratory of Dr. Scott Armstrong, Chairman of the Department of Pediatric Oncology at the Dana-Farber Cancer Institute. Our research focuses on the application of genomic and epigenomic approaches to characterize the mechanisms that control stem cell like properties in leukemia. This information is used to develop new therapeutic approaches for cancers affecting children. Computational biologists will interact and collaborate closely with other scientists and computational biologists across the Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT with the goal of providing necessary computational support to many ongoing projects.


Analyze sequencing data, for example from RNAseq and CHIPseq experiments
Deploy existing programs and algorithms to evaluate other experimental data generated in our labs (e.g., drug synergy experiments, chemical screens, CRISPR screens)
Provide support for basic computational tasks in the lab
Document methods for reproducible analysis
Report data and analytical methods in oral and written formats
Participate in all lab meetings and department meetings at DFCI and Broad Institute

Preferred, but not required:
Experience in computational biology applications
Experience working in a scientific or medical research setting


PhD in Computer Science or related field
Familiarity with coding in R (or other similar languages)
Experience with big data
Experience with data summary visualization
Effective communication skills
Strong organizational techniques, including the ability to handle a variety of tasks in a fast-paced environment

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.

Employment Type

full time