Director Statistical Programming (CoE - Technology Solutions)

• Work with Head of Statistical Programming to implement global statistical programming ecosystem and provide strategic direction relating to vendor oversight, innovation in technologies, automation, processes, and standards to maximize efficiency in statistical analysis and reporting
• Lead the development and implementation of programming standards, best practices, and innovative solutions to enhance efficiency and quality
• Oversee the design, implementation, and maintenance of the statistical computing ecosystem (e.g., SAS, R, Python environments, cloud-based platforms) to support clinical trials and data analysis
• Evaluate and integrate emerging technologies (e.g. cloud-based platform, AI/ML models, natural language processing) into statistical programming workflows

Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.

• Bachelor’s degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred
• 15+ years (10+ years for advanced degree) experience in statistical programming within the pharmaceutical, biotechnology or CRO industry
• Extensive experience supporting regulatory submissions and familiarity with regulatory requirements (e.g. FDA, EMA, ICH guidelines)
• Advanced proficiency in statistical programming languages and tools, such as SAS, R, and Python

Expected Pay Range: $185,500/year to $262,000/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base.

At BioNTech, we are more than just a biotechnology company – we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival.