• Associate Computational Biologist

    Location US-MA-Boston
    Job Posted Date 2 weeks ago(4/10/2018 2:49 PM)
    Job ID
    2018-10410
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    19
  • Overview

     

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together innovative researchers, world renowned clinicians 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 looking for a highly motivated individual to join the laboratory of Dr. Alan D’Andrea and the Center for DNA Damage and Repair at the Dana-Farber Cancer Institute, and the Broad Institute.

     

    The successful applicant will be responsible for analyzing drug sensitivity data, whole-transcriptome sequencing data and exome/genome (DNA) sequencing data, and for interpreting, integrating, and relating transcriptional/genetic information to experimental data. The candidate should have a strong computational/analytical background and demonstrated knowledge of research methods, and be able to adapt quickly and be part of a multi-disciplinary team. The position will focus on a new avenue of research using genomics as a tool for experimental biology to enable discovery of new therapeutic targets for cancer and to identify the novel mechanisms of drug resistance.

     

    Responsibilities

     

    Responsibilities:

    • Working closely with computational and experimental colleagues to understand various methods for detecting/analyzing de novo mutations and gene expression changes.
    • Working alongside informatics colleagues to clean and analyze newly generated data and public datasets.
    • Create pipelines using existing analysis tools to process data in an automated and efficient fashion.
    • Application of these approaches to cancer genome analyses.
    • Responsible for documentation and error reporting for existing tools.
    • Ensure data quality control is constantly and consistently applied to incoming data sets.
    • Create reports of data quality and communicate these to computational staff.

     

     

    Qualifications

     

    Qualifications:

    B.S. required in mathematics, statistics, physics, engineering, computer science, bioinformatics or other fields with quantitative knowledge. Neuroscience or psychology graduates with considerable computational experience will also be considered. Applicants with advanced degrees are also welcome to apply.

     

    • Strong initiative and ability to take ownership of assigned tasks and projects
    • Practical experience with Linux environments and proficient in a least one programming language (Java, C, Python) and one scripting language (e.g., MATLAB, R); interest in (or experience with) cloud computing a plus.
    • Solid knowledge of basic statistics and statistical methods.
    • Experience in computational biological applications
    • Experience managing and curating large datasets
    • Knowledge of genetic analysis and tools is preferred but not required.
    • Familiarity with, or interest in studying cancer genetics and cell biology.
    • Demonstrated attention to detail and analytical skills.
    • Ability to work effectively in a multidisciplinary team environment.
    • Excellent communication and interpersonal skills.
    • Excellent written and oral presentation skills.
    • Must be flexible and able to respond to shifting priorities in a dynamic setting

     

    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.

     

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed

    Connect With Us!

    Not ready to apply? Connect with us for general consideration.