Biometrics Early Career Programme - Statistician

Location: Warsaw, Poland
Hybrid model of work: 3 days in office, 2 remote per week

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 commercialisation 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 maximise impact. We are always expanding our knowledge to get a broad perspective of our portfolio, to consistently deliver optimised programme design, quality information, analysis and interpretation.

What does the Programme involve?

Being a member of a global, diverse, and vibrant team of Statisticians, 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. Your daily responsibilities will include support clinical studies or drug projects, such as generating analysis datasets and statistical reporting for the product in development. 

The Statistician has necessary academic qualifications but limited experience working as a statistician in the pharmaceutical industry, and therefore most work will be supervised by a more experienced statistician. Common activities include study-level support, including set-up, conduct, analysis and reporting. Technical statistical projects can also be addressed.

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

Typical Accountabilities
• Under guidance of an experienced statistician provides
- Statistical support to standard study design and interpretation
- Statistical validation activities
- Analysis of internal and external information to inform design decisions and the development of decision criteria
- Application of modelling and simulation to inform study design, assess robustness of results etc.
- Development of a Statistical Analysis Plan for standard study and/or project delivery.
- Production of analysis, supporting graphics and analysis tables for projects, such as preclinical studies, clinical study reports, Global Medical Affairs studies or publications
- Interpretation, summarisation and communication of results of standard studies.
- Statistical support for regulatory submissions
• Contribute to improvement of methodology and provide practical solutions for problems
• Contribute to the application of statistical methodology to improve the process and delivery activities
• Contribute to the development of best practice to improve quality, efficiency and effectiveness
• Accountable for the quality of their statistical work; provide discipline-specific understanding, insight and constructive challenge and self-aware of own development needs

Essential
• MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc gained in 2023, 2024 or 2025.

• Programming Knowledge and experience (SAS or R preferred)
• Communication skills
• Time Management
• Self-Awareness

Desirable

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