Director, Statistical Innovation Expert m/f/d

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is nolonger a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives ofthose around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

At Bayer, we are committed to advancing health and nutrition through science and innovation. As a Statistical Innovation Expert, you will play a pivotal role in revolutionizing clinical trial designs and data analytics, driving impactful decision-making across the drug development lifecycle. Join our team of forward-thinkers and make a difference in the lives of millions worldwide.

YOUR TASKS AND RESPONSIBILITIES

As a Statistical Innovation Expert, you will:

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Provide strategic statistical consultation and hands-on implementation of advanced methodologies to optimize clinical trial designs and data analytics;

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Lead the development and application of innovative study designs, including adaptive and Bayesian model-based designs, to enhance trial efficiency and outcomes;

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Utilize advanced modeling and simulation techniques, and predictive analytics to address complex challenges in drug development and life-cycle management;

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Drive the creation of cutting-edge data analytic tools, such as R-Shiny apps, to support agile, data-driven decision-making;

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Collaborate with internal and external stakeholders to influence quantitative decision-making and represent Bayer in professional societies, academic institutions, and regulatory discussions;

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Stay at the forefront of industry trends, regulatory requirements, and statistical innovations to ensure Bayer remains a leader in clinical trial excellence;

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Mentor and train statisticians and clinical teams on advanced statistical methods and novel study designs to foster knowledge sharing and large-scale adoption.

WHO YOU ARE

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A PhD in Biostatistics, Statistics, Mathematics, or a related field;

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At least 15 years of experience as a Statistician or in applied quantitative methods, with a strong background in pharma, biotech, or a similar sector;

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Proven expertise in innovative statistical methodologies, including adaptive designs, Bayesian methods, and advanced modeling techniques;

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Proficiency in statistical programming languages (e.g., SAS, R, Python) and Bayesian software (e.g., BUGS, JAGS, Stan);

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Exceptional leadership, communication, and interpersonal skills, with the ability to mentor and inspire diverse teams in a collaborative environment;

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In-depth knowledge of clinical drug development processes, regulatory requirements, and real-world evidence strategies;

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A passion for innovation, with a strong publication record and a track record of influencing industry trends and driving operational efficiencies in clinical development;

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Fluency in English and the ability to work independently and collaboratively across global teams.