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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