Bioinformatics Analyst II - Pediatric Oncology

Location US-MA-Boston
Job Posted Date 1 month ago(1/16/2018 11:48 AM)
Job ID
IT/Health IT/Informatics
full time


COMPUTATIONAL BIOLOGIST position is available in the laboratories of Dr. Kimberly Stegmaier and Dr. Scott Armstrong at the Dana-Farber Cancer Institute in the Department of Pediatric Oncology. Our research focuses on multiple pediatric cancers including leukemia and childhood solid tumors. Our goal is to integrate functional and chemical genomic and epigenomic data 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 with analyzing epigenomic and gene expression data


  • Master or PhD in Computer Science or related field
  • 3-5 years relevant experience in computational biology
  • Experience in computational biology applications
  • 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.


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