Biometrics Early Career Programme - Statistical Programmer

AstraZeneca

Mississauga, Canada
Base: $81,684.80 - $107,211.30; bonus/equity: annu...
Hybrid (3 days onsite, 2 days remote)
Sas programming
Clinical trial data
Transforming data into insights
AstraZeneca is seeking candidates for their Biometrics Early Career Programme as Statistical Programmers, offering a role that combines clinical study design and data analytics. The program emphasizes training for future leadership in a collaborative environment, focusing on drug development in oncology

Job Summary

  • 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.
  • You will have the opportunity to gain fantastic insights by supporting drug development, transforming data into insights, and partnering across disciplines.
  • The Astrazeneca Oncology Biometrics team will help you build your pharmaceutical industry knowledge and the ‘soft’ skills required to fulfil your career potential.

Matching Summary

Match Score: 85

AstraZeneca is seeking candidates for their Biometrics Early Career Programme as Statistical Programmers, offering a role that combines clinical study design and data analytics. The program emphasizes training for future leadership in a collaborative environment, focusing on drug development in oncology.

Salary

Base: $81,684.80 - $107,211.30; Bonus/Equity: Annual Variable Pay Bonus/Short Term Incentive opportunity and potential equity-based long-term incentive program; Benefits: Competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days

Skills & Requirements

Must-have

  • SAS programming
  • clinical trial data
  • transforming data into insights
  • collaboration across disciplines
  • AI-assisted workflows
  • open-source tools and standards

Nice-to-have

  • passion for programming
  • curious about pharmaceutical development
  • proactive problem solving
  • critical thinking skills
  • willingness to learn new skills
  • partnership approach to success

Key Requirements

  • BSc or MSc in Mathematics, Statistics, Computer Science or Life Science
  • Graduated in 2024, 2025 or 2026
  • Good level of written and spoken English

Work Rights

Not specified

Tailored Resume

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