Associate Director, Statistical Science

Associate Director, Statistical Science - Biostatistics

The Statistical Science Associate Director has sufficient experience working as a statistician in the pharmaceutical industry to independently perform and lead statistical work within a project, an indication within a more complex project or complex studies. This individual is able to lead and direct Biometrics work either in-house or partnering with CROs to ensure delivery to quality and time. 

Typical Accountabilities:

The Statistical Science Associate Director may work as a lead statistician: 

• For a project or indication in clinical therapeutic areas 

• Leading the delivery and oversight on multiple studies/indication within a project 

The accountabilities for supporting projects directly include: 

• Analyze, interpret, summarize and present results of clinical study 

• Conduct statistical modelling to predict the timing of interim and final event-driven analyses in a clinical study 

• Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality and time 

• Develop study design options and provide high quality decision support to enable the business to make informed decisions about a study or project 

• Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation 

• Mentor/coach and support the training of statistics staff 

Education, Qualifications, Skills and Experience:

• MSc/PhD in Statistics, Biostatistics, or recognised equivalent to stats MSc 

• 5+ yrs of experience of pharmaceutical development, data analysis and interpretation and experience of program design; preferably, experienced in designing and executing a Phase III Oncology study  

• Strong knowledge of programming in R and/or SAS  

• Experienced in conducting simulations 

• Knowledge of the technical and regulatory requirements related to the role 

• Excellent communication skills and ability to build strong relationships 

• Excellent collaboration skills to work across functional boundaries 

• Ability to apply statistical expertise to complex problems, with a focus on problem solving and quality. 

Date Posted

17-Jul-2026

Closing Date

06-Aug-2026

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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.