Senior Statistical Programmer - CVRM

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.

Are you an experienced Statistical Programmer with good knowledge of clinical drug development? Would you like to be part of a fast-paced and agile global team that has direct strategic impact on drug development, empowered and trusted to innovate and experiment? Join us at AstraZeneca CVRM (Cardiovascular Renal Metabolism) Biometrics to impact a wide range of engaging projects striving to make a difference for millions of patients. Our Biometrics team consists of Statisticians, Programmers, Information and Data Scientists. We drive and contribute to optimized clinical drug development programs and access to information and scientific knowledge management.

We are now offering an exciting opportunity for a dedicated and highly motivated individual to join us in the role as Senior Statistical Programmer.  

This role is a delivery focused role responsible for programming deliverables with quality and timeliness, following established standards and processes. This position requires high technical skills and thorough industry knowledge to independently perform the programming tasks while using judgement about seeking guidance in complex situations. They can be responsible for leading the programming deliveries of clinical studies or small to medium sized clinical projects and can lead cross-functional teams to deliver continuous improvement.

This role will be placed at AstraZeneca’s dynamic R&D global hub in Mississauga (Canada), where you will work in an international environment at the forefront of clinical development.

Accountabilities:

As a Senior Statistical Programmer, you are responsible for leading programming deliverables of a clinical study or a small to medium sized clinical project. Typical accountabilities include:

• Quality, timely and efficient delivery of programming work for a study or project
• Implements statistical programming aspects of the protocol or clinical development program
• Ensures high quality is built into own deliverables and the quality delivered by other programmers
• Programs independently with high efficiency and quality
• Writes specifications and oversee completeness of relevant documentation
• Contributes to or drives the development of best practices to improve quality, efficiency and effectiveness within function
• Ensures compliance to standards and automation usage
• Plans and leads team activities and tasks
• Identifies, manages and communicates risk within the assigned studies and/or projects
• Works proactively with study team members including but not limited to the statistician, lead programmer, data manager and study leader
• Works cooperatively with contract programming providers
• Influences stakeholders by providing subject matter expertise on programming related items
• Contributes to or leads technical initiatives
• Employs project management practices in running programming aspects of drug or technical projects

Education, Qualifications, Skills, and Experience:

• Degree in Mathematics (i.e., Applied Math, Engineering, etc), Statistics, Computer Science, Life Science, or equivalent
• Excellent programming skills in SAS (or R) and SAS macros
• Proficient knowledge of the clinical development process and industry standards (CDISC)
• Ability to apply programming knowledge to problem solving
• Ability to manage relevant documentation
• Ability to influence relevant stakeholders on Programming related items
• Current knowledge of technical and regulatory requirements relevant to the role

Desirable Skills/Experience:

• Broad experience across multiple therapeutic areas and across all phases of clinical trials
• Experience in regulatory submissions and interactions

Great People want to Work with us! Find out why:

• GTAA Top Employer Award for 10 years
• Top 100 Employers Award
• Canada’s Most Admired Corporate Culture
• Learn more about working with us in Canada
• View our YouTube channel

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.

#LI-Hybrid

Date Posted

Closing Date

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.