• Data Scientist I

    Location US-MA-Boston
    Job Posted Date 5 months ago(5/16/2018 4:21 PM)
    Job ID
    2018-10484
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    23
  • Overview

    We are seeking intelligent, hard-working, and dynamic individuals to serve as senior data scientist within the Dana-Farber Bioinformatics and Data Science group, a newly formed group serving some of the most prominent research and clinical programs at the Institute, from basic research to translational research, to clinical diagnostics and operations. The group encompasses expertise in data science, machine learning, bioinformatics and NLP, and seeks to develop a highly interdisciplinary environment supporting our research, clinical and operational staff advance the overall mission of DFCI which is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. 

    As we widen our support of several crucial centers and programs at DFCI we seek an energetic and motivated data scientist for our expanding data science team. The successful candidate will have proven experience in working on large complex projects, meet deadlines, and present results. 

    Responsibilities

    The key responsibilities will be:

    • Meeting and consulting scientists requiring data science support and designing plans and solutions
    • Delivery of results for projects
    • Working as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs
    • Evaluating and benchmarking new libraries; prototype and pipeline development.
    • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
    • Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities.
    • Deep data science skills, at the interface between computer science and statistics

    Qualifications

    • MS or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment
    • 1 to 5 years of experience post MS or PhD
    • Natural language processing experience preferred
    • Python and R experience required
    • JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred
    • Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering.
    • Prior experience with clinical research preferred

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