Statistical Science Associate Director

Do you have leadership skills and an in depth knowledge within Statistical Science? Do you want to work on innovative projects of importance for our late Respiratory and Immunology portfolio?

At AstraZeneca, we aspire to be pioneers in science, leading in our disease areas and truly transform patient outcomes. This means our people are here to win, we give you a breadth of opportunities to be curious and do groundbreaking, unique work that has significant impact on science, medicines and patients.

We now have a great opportunity for you to join our team within Respiratory and Immunology (R&I) in the roles as Statistical Science Associate Director. This role can be based at AstraZeneca’s dynamic R&D site in Boston (US).

What you’ll do:

• 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

Required for the role:

• MSc in Statistics, Mathematics ( or degree containing a substantial statistical component), and minimum of 1+ years of relevant experience; OR PhD in Statistics, Mathematics.

• 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

• Technical:

• Experience of independent research

• Delivering innovative statistical solutions in an applied environment

Desirable for the role:

• PhD in Statistics, Mathematics + 2+ years in a pharmaceutical environment.

• 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

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

Why AstraZeneca?

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

Where can I find out more?

• Our Social Media, Follow AstraZeneca on LinkedIhttps://www.linkedin.com/company/1603/
• Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
• Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
• Our dedicated Biometrics page https://careers.astrazeneca.com/biometrics

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.