Statistical Science Director

Role Overview: As the Statistical Science Director at the organization, you will be a key leader in advancing the application of statistical science within the pharmaceutical industry. Your expertise in statistical methodology, project design, delivery, and interpretation will be crucial in guiding various stages of product development. Your responsibilities will include leading statistical strategy for projects, contributing to regulatory submissions, and influencing internal governance decisions. The ideal candidate for this role is an externally recognized expert in statistical methods with the ability to guide complex analyses and mentor junior staff. Strong cross-functional collaboration skills are essential for success in this position. Key Responsibilities: - Lead statistical design and strategic planning for product development across preclinical studies, regulatory strategies, health technology assessments, and commercial applications. - Oversee statistical content development to ensure high-quality study design, documentation, analysis delivery, interpretation, and regulatory submission. - Quantify and communicate the benefit-risk profile, value, and uncertainty associated with emerging product data. - Provide leadership across global teams, direct the work of internal statisticians and external partners, and manage partnerships with CROs for timely and high-quality deliverables. - Stay current with statistical methodologies and promote the adoption of innovative approaches. - Present statistical strategies and recommendations at internal governance forums and mentor statisticians for their technical development and training. Qualifications Required: - MSc or PhD in Statistics, Mathematics with a strong statistical component, or an equivalent degree. - Proven ability to lead statistical activities independently across complex projects. - Exemplary technical and analytical skills with a track record of delivering impactful statistical strategies. - Recognized expert in statistical methodology with demonstrated leadership in technical areas. - Desirable attributes include therapeutic area or disease-specific expertise, exposure to business development activities, project management capabilities, and proficiency in statistical programming languages such as SAS, R, and Python.,