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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 the Oncogenic Transcriptional Networks Group within the Cancer Cell Biology (CCB) Department. The candidate should have expertise in cell line engineering technologies, molecular and protein biology methods, and
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. Develop strategic collaborations with academic and industrial researchers for addressing gaps in fundamental or applied science related to the pharmaceutical sciences Conduct novel research and present
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PhD in Pharmacometrics, Clinical Pharmacology, Pharmacokinetics, Engineering, Pharmaceutical Sciences, or PharmD Strong written and verbal communication skills PREFERRED QUALIFICATIONS Experience
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& Insights. The individual will interact with multiple cross functional team members within the SPP Centers of Excellence (COE), Pfizer Business Technology, Pfizer Incentive Comp team, Pfizer Business
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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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knowledge of Pfizer business divisions and interrelationships between them. Engages in continuous learning; shows commitment to being familiar with new regulations and industry standards, new technology , and
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of the Oncogenic Transcriptional Networks Group within the Cancer Cell Biology (CCB) Department. The candidate should have expertise in cell line engineering technologies, molecular and protein biology methods, and
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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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-functional teams via emails, training sessions, and workshops for generative AI initiatives Deliver insights that inform medical AI strategies through scientific exchange, including those from technology/AI