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    Senior Data Scientist, Clinical Analytics - North Chicago, United States - AbbVie, Inc

    AbbVie, Inc
    AbbVie, Inc North Chicago, United States

    2 weeks ago

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    Description
    Company Description


    AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow.

    We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio.

    For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

    Job Description


    Purpose:
    A team of data scientists with a unique blend of Business, Scientific, and Machine Learning expertise who seek to:

    Unleash the full potential of AbbVie's data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions

    Broaden the scope and impact of Analytics and Data Science by constantly exploring new opportunities to transform clinical development and R&D

    Collaborate with stakeholders to outline the problem, explore solutions, refine opportunities and deliver a product with a continuous innovation mindset


    Responsibilities:

    • Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
    • Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
    • In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
    • Enables data-driven insights to support of clinical development continuum, including precision medicine
    • Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
    • Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
    • Responsible for coaching and mentoring junior team members.
    • Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior
    Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

    Qualifications

    This position is required to sit on-site 3 days / week


    Qualifications:

    • Bachelor's degree statistics, analytics, bioinformatics, data science or equivalent field. Master's degree preferred
    • Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
    • Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
    • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
    • Proven expertise with Machine Learning and other advanced analytics techniques
    • Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman's terms
    • Demonstrated problem-solving and analytical skills
    • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
    • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
    Additional Information

    Applicable only to applicants


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