Statistical Science Associate Director
Share
Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Statistical Science Associate Director
Cambridge (3 days onsite per week)
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 worlds most serious diseases. But were more than one of the worlds leading pharmaceutical companies. At AstraZeneca we are pioneering new frontiers by identifying and treating patients earlier working towards the aim of eliminating cancer as a cause of death.
Come and join our AZ team where you will play a pivotal role in this exciting period of development!
Join us as a Statistical Science Associate Director and lead highimpact statistical strategy across our clinical portfolio. Youll bring deep pharmaceutical experience to independently shape and deliver statistical work for a project or an indication within a complex program and be recognised as a methodology this role youll direct endtoend Biometrics activities driving quality and timelines through inhouse teams or in partnership with CROs ensuring robust datadriven decisions that advance our medicines.
Key Responsibilities:
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 best practice
Mentor/coach and support the education and training of statistics staff in the technical arena
Requirements:
MSc/PhD in Statistics Mathematics (containing a substantial statistical component) or recognised equivalent to stats MSc
Strong knowledge of programming in R and/or SAS
Strong knowledge and understanding of the technical and regulatory requirements related to the role
Developed negotiation and interpersonal skills with the ability to navigate complex interests build trust and secures agreement with senior stakeholders and collaborators.
Highly developed operational and project management skills with experience leading multiworkstream projects endtoend.
Proven experience of independent research
Delivering innovative statistical solutions in an applied environment
Desirables:
Proficiency in SAS and R/Python languages
Knowledge of Bayesian statistics from theory to computation is a plus
Track record of research and methodological development in Statistics supported by scientific publications in first class statistical journals
In Office Requirement:
When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Competitive salary and benefits package on offer!
The successful candidate will have access to a flexible employee benefits fund including holiday purchase and flexible time off pension contributions Share Save Plans A performance recognition scheme and a competitive generous remuneration package.
Date Posted
12-Mar-2026Closing Date
21-Mar-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form.Required Experience:
Director
Key Skills
- Program assessment
- FDA Regulations
- Manufacturing & Controls
- Program Evaluation
- budget forecast
- Research Experience
- Operations Management
- Research & Development
- Strategic Planning
- Contract Management
- Leadership Experience
- negotiation
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
