Director, Statistical Innovation Expert M/f/d
Posted 4 hours 37 minutes ago by Bayer Consumer Care AG
Permanent
Not Specified
Academic Jobs
Basel-Stadt, Basel, Switzerland
Job Description
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:
- Provide strategic statistical consultation and hands-on implementation of advanced methodologies to optimize clinical trial designs and data analytics;
- Lead the development and application of innovative study designs, including adaptive and Bayesian model-based designs, to enhance trial efficiency and outcomes;
- Utilize advanced modeling and simulation techniques, and predictive analytics to address complex challenges in drug development and life-cycle management;
- Drive the creation of cutting-edge data analytic tools, such as R-Shiny apps, to support agile, data-driven decision-making;
- Collaborate with internal and external stakeholders to influence quantitative decision-making and represent Bayer in professional societies, academic institutions, and regulatory discussions;
- Stay at the forefront of industry trends, regulatory requirements, and statistical innovations to ensure Bayer remains a leader in clinical trial excellence;
- 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
- A PhD in Biostatistics, Statistics, Mathematics, or a related field;
- 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;
- Proven expertise in innovative statistical methodologies, including adaptive designs, Bayesian methods, and advanced modeling techniques;
- Proficiency in statistical programming languages (e.g., SAS, R, Python) and Bayesian software (e.g., BUGS, JAGS, Stan);
- Exceptional leadership, communication, and interpersonal skills, with the ability to mentor and inspire diverse teams in a collaborative environment;
- In-depth knowledge of clinical drug development processes, regulatory requirements, and real-world evidence strategies;
- A passion for innovation, with a strong publication record and a track record of influencing industry trends and driving operational efficiencies in clinical development;
- Fluency in English and the ability to work independently and collaboratively across global teams.
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