Biometrics Early Career Programme - Statistical Programmer

Location: Mississauga, Canada
Hybrid model of work: 3 days in office, 2 remote per week

Type: Full-time Permanent

Start date: September 2026

Be at the heart of bringing life-changing medicines to the world!

As part of our Biometrics Early Career Programme, you’ll be at the heart of the clinical study design, data analytics and interpretation of our innovative portfolio of medicines. Directly influence our mission to provide life-changing treatments and impact the lives of millions of people around the world.

About AstraZeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading biopharmaceutical companies. We are a company that genuinely follows the science and values individuals at all levels; you’ll be backed and encouraged to speak up, ask questions, and share ideas to push the boundaries of science and to continuously learn and explore.

At AstraZeneca, Biometrics is the home that supports all aspects of early and late-stage drug development. We use our expertise in statistics, programming, and clinical data to answer drug development objectives and reduce uncertainty in product development, driving better business decisions with quantitative reasoning.

Our diverse (therapy area aligned) teams of dedicated data experts work collaboratively across early and late phase clinical development, of both small molecules and biologics. This allows us to leverage and fuse our own skills with others to maximize impact. We are always expanding our knowledge to get a broad perspective of our portfolio, to consistently deliver optimized programme design, quality information, analysis and interpretation.

What does the Programme involve?

Being a member of a global, diverse, and vibrant team of Oncology Statistical Programmers, you’ll work on real drug development projects and train to gain the skills and knowledge needed to explore your potential for becoming a future Biometrics leader. You will have the opportunity to gain fantastic insights by supporting drug development. As an Oncology Statistical Programmer you will contribute in many ways, including:

• Transforming data into insights: Help turn complex clinical trial data into clear, reliable outputs (datasets, tables, listings and figures) that inform decisions across drug development and regulatory submissions.
• Partnering across disciplines: Work closely with statisticians, clinicians, data managers, and engage with data scientists, engineers, and AI/ML professionals to solve problems and improve how we use data.
• Improving how we work: Contribute to non‑project initiatives that streamline our processes—such as exploring AI-assisted workflows, adopting open‑source tools and standards, enhancing automation and quality, and shaping best practices that scale across teams.
• Learning and growing: Build core programming and analytical skills (e.g., SAS and industry standards) alongside broader capabilities in collaboration, communication, and innovation—preparing you for a future leadership path.
• Owning impact: Play a key role in delivering high‑quality results, meeting timelines, and continuously improving how we design, analyze, and communicate clinical evidence.

The Programme’s variety and flexibility provide you with outstanding exposure within Oncology Statistical Programming and other areas of Biometrics. You will be part of a collaborative team and gain an invaluable blend of on-the-job experience and specific training. With a mentor and a buddy assigned, you will build collaborative relationships with peers, specialists and leaders across our organization which will help to accelerate your career development.

The Astrazeneca Oncology Biometrics team will help you build your pharmaceutical industry knowledge and the ‘soft’ skills required to fulfil your career potential.

Essential requirements

• BSc or MSc in Mathematics, Statistics, Computer Science or Life Science gained in 2024, 2025 or 2026.
• Passion for programming and curious about pharmaceutical development
• Proactive problem solving and critical thinking skills.
• Willingness and ability to learn new skills.
• Planning, organizational and time management skills
• Good communication skills
• Collaborative, with a partnership approach to achieving success.
• Good level of written and spoken English

Desirable Requirements

• Database and/or clinical trial awareness
• Programming knowledge of SAS or R

  #EarlyTalent

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Annual base salary for this position ranges from 81,684.80 to 107,211.30.

AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors, including the candidate's skills and experience, job-related knowledge, and other specific business and organizational needs.  In some cases, offers outside the range may also be considered to address unique circumstances.

In addition, our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role).  Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.

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 authorisation and employment eligibility verification requirements.