• Research Fellow

    Location US-MA-Boston
    Job Posted Date 11 months ago(11/1/2018 9:51 AM)
    Job ID
    2019-12945
    Category
    Fellowships
    Type
    full time
    Grade
    41
  • 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. 

     

    The Lohr Lab seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST AND DATA SCIENTIST FELLOW, under the Lohr Lab (http://lohrlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of our single cell sequencing efforts to help advance approaches to precision cancer medicine, drug resistance and immunotherapy.

     

    Interested candidate will focus on new approaches for the analysis of transcriptome and DNA sequencing data from single tumor cells, circulating tumor cells, and matching tumors to enable new discoveries in patients under multiple contexts. We seek someone with experience in data analysis who is excited about generating new biological insights by applying existing methods to new datasets, and by developing novel approaches for analyzing and integrating these data.

     

    We have collaborations with clinical investigators, experimentalists, computer scientists, and disease experts at Dana-Farber Cancer Institute, at the Broad Institute and neighboring institutions. Dana Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, 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 and the BROAD Institute.

    Responsibilities

    The candidate is expected to contribute towards design and implementation of algorithms to analyze the data and integrate it with outcome of clinical trials. The hired candidate will also be involved in development of in-house tools needed for interactive visualization and analyses. The candidate will also help in maintenance, support, and documentation of computational tools, pipeline, code repository, and generated datasets. As the computational infrastructure evolves, this position is likely to present diverse and flexible opportunities.

     

    Characteristic duties:

     

    • Analyze next generation sequencing data including RNA sequencing of bulk and single cells, whole genome and whole exome sequencing, ChIP-Seq, ATAC-seq, etc.
    • Applying existing statistical and computational methods on novel datasets.
    • Developing and maintaining computational tools
    • Explore existing literature/datasets (TCGA/Pan-Cancer atlas etc) to support and extend conclusions.
    • Prepare research results for publication and for presentations at scientific meetings.

    Qualifications

    PhD, or MD/PhD

     

    Ph.D. in bioinformatics, genetics, statistics, mathematical, or computer science or a related discipline with significant experience in computer programming and computational biological applications.

     

    • Coding experience in python and/or R along with familiarity in unix/linux environment is required. Deep knowledge on application and development of statistical methods for analyses of high-throughput dataset is a plus.
    • Practical experience in next-generation sequencing data analysis
    • Experience with biological data, especially cancer genetics.
    • Excellent oral and written communication skills and the ability to perform both self-directed and guided research
    • Outstanding personal initiative and the ability to work effectively as part of a team
    • Ability to meet deadlines and efficiently multitask is a must.
    • We are looking for candidates who have at least two years of availability. 

    Schedule

    Full-time opportunity

     

    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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