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It is Never too Early to Think About Statistical Leadership
Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and data quality outcomes from clinical trials; and pharmaceutical companies (Inspire Pharmaceuticals and Bristol-Myers Squibb).
The continued development and broadening of statistical influence is important for career growth and the statistics discipline. (Bio)statisticians and data scientists need to develop and actively nurture effective leadership skills. These skills are of particular importance in the multi-disciplinary environment in which we often find ourselves employed. In these situations, (bio)statisticians and data scientists often must communicate technical concepts clearly and convincingly to an audience with little-to-no statistical background. Ultimately, the success of a (bio)statistician’s or data scientist’s collaborations with non-statisticians determines how readily he or she can contribute to important decisions in their daily work. It is important to start early! Even as a student, it is never too early to think about statistical leadership.