Sr. Statistician 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.

Introduction to role:

The Senior Statistician II is an experienced professional in the pharmaceutical industry, capable of independently handling activities related to design, delivery, and interpretation of preclinical studies, regulatory submissions, and commercialization. This role involves performing and communicating results of complex analyses, guiding less experienced staff, and developing innovative statistical ideas and approaches. The individual will contribute significantly through cross-functional collaboration.

Accountabilities:

The Senior Statistician II may work directly within a project and/or support statistical methodological advances. The accountabilities for supporting projects directly are:

• Provide statistical expertise for complex design and interpretation for preclinical or clinical programs, high-level internal governance committees, regulatory submissions, and/or commercialization
• Analyze internal and external information, perform modeling and simulation to inform design decisions and develop decision criteria
• Develop a Statistical Analysis Plan for complex studies and/or project deliveries
• Act as a coach/guide for less experienced statisticians in producing analysis, supporting graphics, and analysis tables for study reports, Global Medical Affairs studies, or publications
• Analyze, interpret, summarize, and communicate results of complex studies
• Contribute to regulatory submissions including specification of overview documents and response to regulatory questions
• Find opportunities to apply modeling and simulation for improving study design
• Find opportunities to improve methodology and offer practical solutions for problems
• Identify and apply statistical methodology to improve 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; 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, produce 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, regulatory guidance, or value demonstration
• Investigate and advance statistical approaches, establish standards and effective techniques, develop and implement new methodology collaborating with external scientists
• Identify new areas where we can add value, develop collaborative relationships with the external scientific/academic community, and maintain academic links
• Contribute to or lead the development of a process improvement 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 Skills/Experience:

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

Desirable Skills/Experience:

• Collaboration required
• Ability to apply statistical expertise to problems, problem-solving, and quality focus

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 emailingAZCHumanResources@astrazeneca.com.

#LI-Hybrid

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.