Statistical Programming Associate Director, Oncology
UK - Macclesfield
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Our Oncology Biometrics department, of which Programming is a part of, is an integral part of the Oncology R&D organization. We drive excellent design in order to generate the appropriate data needed for quality decision making. The goal of Oncology Biometrics is to deliver value to the pipeline by excellence in delivery, improved decision making and engaging and crafting the external environment whilst accessing and implementing innovative solutions.
Ultimately, the Oncology Programming department oversees and delivers all of the programming contribution to internal decision making, regulatory submissions and reporting and commercial activities for the portfolio of drug projects within the Oncology R&D organization.
What you will do:
Reporting to the Director, Statistical Programming, providing leadership and management of statistical programming activities at the project/study level related to the planning, execution and delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options you can pursue for progression including technical path, management of global projects or line management.
Essential for the role:
To succeed in this global role, you need to be an enthusiastic individual with an understanding of technical and regulatory requirements related to programming within the pharmaceutical or healthcare industry. You should enjoy multitasking and collaborating with others and have experience with solving problems and resolving conflicts.
- Bachelor’s or Master’s (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field
- Pharma industry experience
- Oncology experience
- Diligence – attention to detail and ability to manage concurrent projects and activities
- Excellent verbal and written communication skills with an ability to influence stakeholders
- Extensive SAS programming expertise to an advanced level within clinical drug development
- Extensive knowledge of technical and regulatory requirements
- In-depth understanding of CDISC standards and industry guidelines
- Experience leading projects/studies
Next Steps?
Are you ready to step up and take ownership of your work, solutions for the business and your personal career development? Apply now and join us in our mission to bring life-changing medicines to people!
Location: Macclesfield UK
Salary: Competitive + Excellent Benefits
Closing Date: 8th November 2024
Where can I find out more?
Our Social Media,
Follow AstraZeneca on LinkedIn https://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
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.
Date Posted
04-Nov-2024Closing Date
08-Nov-2024Our 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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CDISC Computer Science Mathematics Pharma R R&D SAS Statistics
Perks/benefits: Career development Competitive pay Flex hours
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.