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    Statistician/Senior Statistician - London, United Kingdom - Warman O'Brien

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    Description
    Principal Statistician - UK/

    Remote Job Overview:

    Who are they? We have partnered with a renowned global pharma, who are looking for an experienced Principal Statistician to join their pioneering and innovative team within Global Statistics and Real-World Data Science Function.

    Working as part of cross-functional, global teamsActing independently as a Study Statistician / Medical Affairs Statistician / Exploratory Statistician / Regional Statistician Lead or Lead Product Statistician.

    Researching innovative solutions and training other statisticiansUndertaking and overseeing complex/novel work in an established area such as clinical/ observational studies, MA tactic or Biomarker & PK/PD Analyses.

    Acting as a Global Statistical Lead for an early or back up asset or as a Methodology expert validating the execution of complex techniques.

    Significant experience of applying statistical methods in biomedical research, Pharma, CRO, Academia or the Healthcare industry, gained on a global basis.

    Advanced and broad knowledge of statistical methods, along with an understanding of industry practices related to the statistical analysis of clinical and biomarker data.

    In-depth familiarity with processes and procedures in data management and programmingGood knowledge of medical literature, clinical, regulatory and commercial landscapeKnowledge and skills in SASThe ability to understand, implement, and explain complex statistical methodology

    Desired Qualifications:

    PhD or M.S in Biostatistics, Statistics, or a related scientific fieldEvidence of statistical leadership and a proven track record of scientific achievement and project influence.

    Analytical mind-set, intellectual curiosity, eager for continuous learning and passionate about translating data into business-critical evidence. Good interpersonal, verbal and written communication skills in English language are required.
    Proficiency in SAS required.


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