• Bioinformatics Analyst II- Pediatric Oncology (Armstrong and Filbin)

    Location US-MA-Boston
    Job Posted Date 4 months ago(4 months ago)
    Job ID
    IT/Health IT/Informatics
    full time
  • 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.

    We are seeking a Bioinformatics Analyst who will join the teams of Dr. Scott Armstrong and Dr. Mariella Filbin in the Department of Pediatric Oncology at the Dana-Farber Cancer Institute. Our goal is to develop new therapeutic approaches for children with leukemia and brain tumors by overcoming “differentiation blocks” in cancer cells. Specifically, our research focuses on understanding the genetic and epigenetic changes that lock cancer cells in a stem-like state, preventing differentiation into normal cells.


    The successful candidate will collaborate closely with other scientists and computational biologists across the Dana-Farber Cancer Institute and the Broad Institute of MIT and Harvard.


    • Analyze single cell RNA-seq data and generate clustering analyses for normal and cancer cells using dimensionality reduction techniques like tSNE, PCA, or NMF
    • Evaluate other experimental data generated in our labs (e.g. CRISPR screens, drug synergy experiments) by adapting existing pipelines and algorithms
    • Characterize chromatin states and transcriptional states of cells during normal development and oncogenesis, for example from RNAseq and ChIPseq data
    • Provide support for basic computational tasks in the lab
    • Report data and analytical methods in oral and written format


    • Master’s Degree or PhD, preferably in the Computational Sciences.
    • Programming experience with at least one high-performance statistical computing software (e.g. R, Python, MATLAB, Julia)
    • Experience with big data management, statistical analysis and data summary visualization
    • Strong organizational techniques, including the ability to handle a variety of tasks in a fast-paced environment


    The ideal candidate will be passionate about advancing scientific discovery, a team player and highly self-motivated. A minimum two-year commitment is required, with appointment to commence in Summer/Fall 2018.

    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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