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    Senior Data Scientist - New York, United States - Luminary Group

    Luminary Group
    Luminary Group New York, United States

    1 day ago

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    Description

    Job Description

    Job Description

    Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry.

    Responsibilities:
    • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets.
    • Preprocess and clean large-scale real-world data to ensure data quality and integrity.
    • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data.
    • Develop predictive models to forecast outcomes and trends based on real-world evidence.
    • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders.
    • Stay up-to-date with the latest research and advancements in data science and real-world evidence.
    • Implement data visualization techniques to effectively communicate analysis results.
    • Lead the development of data-driven products and solutions for the healthcare industry.
    • Mentor and provide guidance to junior data scientists.

    Requirements

    • Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred.
    • Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry.
    • Proven track record of successfully leading and implementing data science projects.
    • Strong knowledge of data mining, statistical modeling, and machine learning algorithms.
    • Proficiency in programming languages such as Python or R for data manipulation and analysis.
    • Experience with data visualization tools, such as Tableau or Power BI.
    • Solid understanding of database systems and SQL for data querying and manipulation.
    • Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets.
    • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
    • Experience with healthcare data and familiarity with healthcare data standards is highly desirable.
    • Understanding of regulatory requirements and ethics related to data analysis in healthcare.
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