Associate Director, Statistical Science

Associate Director Statistical Science - Biostatistics

The Statistical Science Associate Directorhassufficientexperience working as a statistician in the pharmaceutical industry to independentlyperform andlead statistical work within a projectan indicationwithin a more complex project or complex studies.This individualis able toleadand directBiometricsworkeither in-house orpartneringwith CROs to ensure delivery to quality and time.

Typical Accountabilities:

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

• For a project orindicationin clinical therapeutic areas

• Leadingthe delivery and oversight on multiple studies/indicationwithin a project

Theaccountabilitiesfor supporting projects directly include:

• Analyze interpretsummarizeand present results of clinicalstudy

• Conductstatistical 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 standardsqualityand time

• Developstudydesign options and providehigh qualitydecision 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 QualificationsSkillsand Experience:

• MSc/PhD in StatisticsBiostatistics orrecognisedequivalent to statsMSc

• 5 yrs of experience of pharmaceutical development data analysis and interpretation and experience of program design;preferably experienced indesigningandexecuting aPhase 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 statisticalexpertiseto complex problems with a focusonproblem solving and quality.