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Statistical Science Director

AstraZeneca
Full-time
Remote friendly (Gaithersburg, MD)
United States
$177,878 - $266,816 USD yearly
Clinical Research and Development

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Role Summary

Statistical Science Director at AstraZeneca leading statistical strategies and technical activities in clinical statistics, synthesizing data for governance committees and regulatory submissions, mentoring staff, and collaborating across functions to impact life-changing medicines.

Responsibilities

  • Lead the statistical design and strategy for product development plans, preclinical studies, regulatory strategy, health technology assessment, and commercial activities.
  • Ensure quality in statistical content for study designs, documents, delivery, interpretation, and submission.
  • Quantify and communicate the benefit, risk, value, and uncertainty of emerging product profiles.
  • Provide global leadership and direct project work delivered by internal and external staff.
  • Partner with CROs to ensure timely and quality delivery.
  • Represent AstraZeneca externally at health authorities, advisory boards, conferences, workshops, and payer interactions.
  • Maintain knowledge of statistical methodology and implement novel approaches.
  • Represent statistical strategy at internal decision-making governance.
  • Mentor and support the technical education of Statistics staff.

Qualifications

  • MSc/PhD in Statistics, Mathematics (with substantial statistical component), or recognized equivalent.
  • Consistent track record of independent leadership.
  • Extensive clinical trials experience.
  • Recognized as a statistical technical expert.
  • Outstanding technical skills.
  • Demonstrated ability to provide cross-study support, overseeing, aligning and providing technical support for multiple studies.

Desirable Skills/Experience

  • Expertise in vaccine therapeutic areas or disease areas.
  • Exposure to business development opportunities (e.g., in licensing) is beneficial.
  • Project management skills.
  • Proficiency in programming SAS, R, and Python.
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