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    Senior Manager, Data Science - Wilmington, United States - Genpact

    Genpact
    Genpact Wilmington, United States

    4 weeks ago

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    Description
    • Role : Senior Manager, Data Science

    The Commercial Data Sciences & AI is a key leader in the Commercial Data Science & AI team whose mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across Bio-pharma and Specialty therapy businesses. The scope of this role is Global serving all the markets for life-changing medicines are approved to help Patients live longer.

    The team is responsible for value creation through innovation at a global scale. In addition to impeccable technical skills, the ability to communicate and influence a diverse stakeholder set is crucial. Not infrequently, the problems we solve are first identified by its senior members introducing and gaining traction for these concepts requires tact and subtlety.

    We are looking for with experience in Pharma Commercial analytics in the areas of Data Science, AI etc., for a top 5 Pharma Major client of Genpact.

    Key Responsibilities:

    Develop a deep understanding of the business and its core markets.

    Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.

    Be responsible for the full solution architecture cycle: identification & definition of business questions/opportunities, data acquisition & preparation, model implementation & optimization, and method of deployment to the consuming system or team.

    Collaborate with ML Ops to prepare and document solutions for the transition to maturity/industrialization team.

    Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment of capabilities.

    Actively seek out, develop, and share best practices.

    Stay abreast of the evolving technical landscape, and remain current on the major data science development.

    Incentivize and pursue continuous improvement of existing capabilities and skills.

    Manage onshore and offshore external consultants.

    Competencies and Minimum Requirements

    Bachelors degree years of progressive professional work experience in mathematics, computer science, engineering, statistics, economics, market research or a related quantitative discipline.

    Hands-on experience in the application of data science methods on large and disparate datasets, such as Rx, Claims, EMR, and other patient-level data sets.

    Hands-on experience in working with analytics and programming softwares (e.g., SAS, R, Julia, or Python) and familiarity with database systems (e.g., SQL, NoSQL, graph).

    Professional experience in Pharmaceutical and Life Science industry.

    Track record of developing Data Science and AI products that have generated business value, and impact across multiple Industries.

    In-depth knowledge and experience with advanced statistical methods as well as latest development in the data science and AI fields.

    Understanding of algorithm design, development, optimization, scaling, and applications.

    Excellent written and verbal communication, business analysis, and consultancy skills.

    Desirable Requirements

    A quantitative masters or Ph.D. degree from an accredited college or university in one of the following fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.

    Comfortable working in high-performance computing or cloud environment.

    Proven track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.

    Experience in understanding biomedical data sets and real-world data sets relevant to life sciences and healthcare.

    Experience in novel methods development and application, complex global organization, and people management.

    Strong entrepreneurial drive to identify/pursue opportunities and take ownership of outcomes.

    Mature leadership and interpersonal skills. Track record of working collaboratively with a significant number of leaders and building ambitious solutions in a matrix environment.

    Strong organizational skills and time management.

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