Statistical Science Director, Late Oncology
AstraZeneca

Job Info

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Statistical Science Director, Late Oncology

Gaithersburg, (MD) and Wilmington (DE)

Play a critical role in making our pipeline accessible to patients.

Do you have expertise in, and passion for, Biostats? Would you like to apply your skills to impact all phases of drug development and regulatory interactions, in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious disease. But we're more than one of the world's leading pharmaceutical companies.

Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. It's our big vision that unites and encourages us. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. Fusing cutting-edge science with the latest technology to achieve breakthroughs. Backed by investment, we are striving to deliver 6 new molecular entities by 2025.

We work on some of the most sophisticated and exciting challenges. A fast-paced and agile team, we are empowered and trusted to innovate and experiment. With access to our extensive capabilities and comprehensive pipeline, you'll be involved in countless submissions and a wide range of engaging projects along the complete drug development process.

The Statistical Science Director provides technical leadership as an expert for a number of statistical processes and systems that ensures effective teamwork between a technical services group and AstraZeneca regional sites and customers.

Main responsibilities:

• Lead strategic, statistical thinking and contributions to clinical development plans
• Through collaboration with experts, develop design options and provide quantitative decision support
• Innovate and improve study design through adaptive design and Bayesian methods, including trial simulation
• Improve statistical methodology, processes and delivery activities
• Oversee internal and external statisticians in the delivery of analysis and reporting
• Interpret and present clinical trial results.

Essential requirements:

• A Statistics, Mathematics, Biostatistics, related MS Degree.
• 5 years of proven experience
• Direct experience of clinical trials, ideally in pharmaceuticals or healthcare
• Excellent interpersonal skills
• A collaborative mindset
• Genuine dedication to drive innovation to advance statistical science
• Oncology experience would be an advantage

Preferred:

• Ph.D. Statistics or Mathematics with high statistical component.

Why AstraZeneca?

At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.

So, what's next?

• Are you already imagining yourself joining our team? Good, because we can't wait to hear from you.

Where can I find out more?

Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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