Associate Director, Biostatistics

Are you ready to make a significant impact in the pharmaceutical industry? As a Statistical Science Associate Director, you'll leverage your extensive experience to lead and innovate within projects, driving statistical excellence and methodological advancements. Whether working independently or collaborating with CROs, your expertise will ensure timely and quality delivery of Biometrics work. This is your chance to be recognized as a methodology expert and contribute to life-changing medicines.

Accountabilities:

As a Statistical Science Associate Director, you'll take on the role of lead statistician for clinical or preclinical therapeutic areas. Your responsibilities will include:

• Leading the delivery and oversight of multiple studies within a project, potentially serving as a Global Project Statistician for standard drug projects.
• Contributing to statistical methodological advances.
• Leading statistical thinking and contributions to studies, development plans, regulatory strategy, health technology assessment, and commercial activities.
• Directing project work with statistical staff and/or CRO partners to ensure delivery to standards, quality, and time.
• Developing design options and providing high-quality decision support for informed study or project decisions.
• Quantifying the benefit, risk, value, and uncertainty of emerging asset/product profiles.
• Investigating and applying novel statistical approaches, including modeling and simulation.
• Mentoring and supporting the education and training of statistics staff.

Essential Skills/Experience:

• MSc/PhD in Statistics, Mathematics (with substantial statistical component), or recognized equivalent to stats MSc
• Strong knowledge of programming in R and/or SAS
• Knowledge of technical and regulatory requirements related to the role
• Excellent communication skills and ability to build strong relationships

Technical:

• Usually PhD in Statistics or a relevant topic
• Experience of independent research
• Delivering innovative statistical solutions in an applied environment

Desirable Skills/Experience:

• Project Management Skills
• Proficiency in SAS and R/Python languages
• Knowledge of Bayesian statistics from theory to computation is a plus

Technical:

• Track record of research and methodological development in Statistics, supported by scientific publications in first-class statistical journals

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we fuse science and data to develop bold solutions that positively impact patients' lives. Our dynamic environment encourages innovation and collaboration across all Therapy Areas. With a focus on continuous improvement, we embrace challenges as opportunities for growth. Here, you'll be empowered to make courageous decisions that drive scientific breakthroughs and contribute to meaningful change.

Ready to take your career to the next level? Apply now and become part of our journey to transform patient care through innovative biostatistics!

Date Posted

Closing Date

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.