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of data and analytical solutions Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering process in order to improve team productivity BASIC QUALIFICATIONS
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of data and analytical solutions Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering process in order to improve team productivity BASIC QUALIFICATIONS
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development and health technology assessment (HTA). The applicant is expected to develop highly effective collaborations with relevant stakeholders including those in Patient Health & Impact, the Patient
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insights Planning and conducting medical analyses Prepare and maintain datasets for on-going analytical needs in collaboration with data engineers Flag data issues to data engineers and advice on required
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mentorship & coaching to Data Scientists & Data Engineering Leverage cross-team collaboration and asset-specific experience to develop and disseminate analytical best-practices in conducing care gap analyses
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to communicate insights generated Provide mentorship & coaching to Data Scientists & Data Engineering Leverage cross-team collaboration and analytical experience to develop and disseminate best-practices in
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and maintain datasets for on-going analytical needs in collaboration with data engineers Flag data issues to data engineers and advice on required resolution Develop integrated care gaps analyses
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engage diverse stakeholders Understand the applications of technology to the Life Science sector PREFERRED QUALIFICATIONS MBA or other related degrees NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT
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engage diverse stakeholders Understand the applications of technology to the Life Science sector PREFERRED QUALIFICATIONS Advanced degree preferred in data sciences or similar MBA or other related degrees
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change Lead teams and engage diverse stakeholders Understand the applications of technology to the Life Science sector PREFERRED QUALIFICATIONS MBA or other related degrees NON-STANDARD WORK SCHEDULE