Associate Director Statistics

Role – Assoc Director Statistical Science

Duration – 12 month

Location – Remote (First Day in Macclesfield HQ)

Outside IR35

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 be recognised as a methodology expert. This individual is able to lead and direct Biometrics work either in house or partnering with CROs to ensure delivery to quality and time.

Accountabilities:

The Statistical Science Associate Director may work as a lead statistician

• For a project or indication in clinical or preclinical therapeutic areas
• Leading the delivery and oversight on a multiple studies/indication within a project, potentially as a Global Project Statistician for a standard drug project
• Contributing to statistical methodological advances

The accountabilities for supporting projects directly include:

• Lead the statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, health technology assessment and/or commercial activities
• Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality and time
• Develop design options and provide high quality decision support to enable the business to make informed decisions about a study or project
• Quantify the benefit, risk, value and uncertainty of the emerging asset/product profile
• 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 education and training of statistics staff

The accountabilities for supporting statistical methodological advances include:

• Ability to consult across project teams within area of expertise
• Application of expert skills to investigate, apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation
• Produce pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop solutions thereafter
• Contribute to/or lead the development of a process improvement and/or capability area within the department
• Establish and improve standards and best practice, apply novel statistical approaches to increase effectiveness and efficiency
• Interact with external scientists and represent AstraZeneca Biometrics externally via publications and presentations on novel statistical approaches and best practice

Mentor/coach and support the education and training of statistics staff in the technical arena

Essential Requirements:

• MSc in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc
• Strong knowledge of programming in R and/or SAS
• Knowledge of the technical and regulatory requirements related to the role
• Excellent communication skills and ability to build strong relationships
• Proficiency in SAS and R/Python languages
• Knowledge of Bayesian statistics from theory to computation is a plus

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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 authorization and employment eligibility verification requirements.