Senior Statistician I/II

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.

 Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

 Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.
The Senior Statistician 1/II may work directly within a project and/or support statistical methodological advances.

The accountabilities for supporting projects directly are:

• Provide statistical expertise for sophisticated design and interpretation for preclinical or clinical programmes, high level internal governance committees, regulatory submissions and/or commercialisation
• Analyse internal and external information, perform modelling and simulation to advise design decisions and the development of decision criteria
• Develop a Statistical Analysis plan for complex studies and/or project deliveries
• Act as a mentor/guide for less expert statisticians in the production of analysis, supporting graphics and analysis tables for study reports, Global Medical Affairs studies or publications
• Able to analyse, interpret, summarise and communicate results of sophisticated studies
• Contribute to the regulatory submissions including specification of overview documents and response to regulatory questions
• Find opportunities for the application of modelling and simulation to improve study design
• See opportunities to improve the methodology and provide practical solutions for problems
• Identify and apply statistical methodology to improve the process and delivery activities
• Contribute to the development of standard methodologies to improve quality, efficiency and effectiveness
• Accountable for the quality of their statistical work; provide discipline-specific understanding, insight and constructive challenge and take ownership of development needs, seek coaching or training opportunities
The accountabilities for supporting statistical methodological advances are:
• Under guidance of a more experienced statistician, produces pragmatic solutions, often within a tight time scale where the emphasis is to deliver first, then refine and develop solutions thereafter.
• Draft statistical analysis plans for complex studies
• Provide consultancy within area of expertise to fellow statisticians working within therapeutically aligned statistics groups, as well as medical scientists and other key roles across the business
• Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration
• Investigate and improve statistical approaches, establish standards and best practice, develop and implement new methodology interacting with external scientists
• Identify new areas where we can make valuable contributions, developing collaborative relationships with the external scientific/academic community and maintaining academic links
• Contribute to/or lead the development of a process improvement and/or capability area within the Department
• Develop a strong understanding of the pharma business/AZ ways of working
• Communicate research and results internally and externally through participation at conferences and journal publications.

Essential

• MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc
• Competent statistical programmer (SAS and R)
• Knowledge of key technical and regulatory requirements
• Experience of design, analysis and reporting of preclinical or clinical studies in more than one setting
• Experience and knowledge of statistical methods and applications in study design, analysis and interpretation

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• GTAA Top Employer Award for 9 years
• Learn about our culture
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Are you interested in working at AZ, apply today!

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.