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Über diese Senior Statistical Programmer Stelle bei AstraZeneca

AstraZeneca · Vor Ort · Spain - Barcelona

The Senior Statistical Programmer II is a delivery focused role responsible for programming deliverables with quality and timeliness, following established standards and processes. This position requires high technical skills and thorough industry knowledge to independently perform the programming tasks while using judgement about seeking guidance in complex situations. They can be responsible for leading the programming deliveries of clinical studies or small to medium sized clinical projects and can lead cross-functional teams to deliver continuous improvement


Typical Accountabilities:

• Responsible for leading the programming deliveries of a clinical study or a small to medium sized and complex clinical project

• Implements statistical programming aspects of the protocol or clinical development program

• Ensures high quality is built into own deliverables and the quality delivered by other programmers

• Programs independently with high efficiency and quality

• Writes specifications and oversee completeness of relevant documentation

• Contributes to or drives the development of best practices to improve quality, efficiency and effectiveness within function

• Ensures compliance to standards and automation usage

• Plans and leads team activities and tasks

• Identifies, manages and communicates risk within the assigned studies and/or projects

• Works proactively with study team members including but not limited to the statistician, lead programmer, data manager and study leader

• Works cooperatively with contract programming providers

• Influences stakeholders by providing subject matter expertise on programming related items

• Contributes to or leads technical initiatives

• Employs project management practices in managing programming aspects of drug or technical projects

• Demonstrated experience programming in R 
• Experience programming in Python
• Ability with AI-enabled solutions, such as developing or working with AI agents


Education, Qualifications, Skills and Experience

Essential

• Degree in Mathematics (i.e., Applied Math, Engineering, etc), Statistics, Computer Science, Life Science or equivalent

• Excellent programming skills including macro language

• Proficient knowledge of the clinical development process

• Thorough knowledge of industry standards

• Ability to apply programming knowledge to problem solving

• Ability to manage relevant documentation

• Ability to influence relevant stakeholders on Programming related items

Desirable

• Ability to proactively manage concurrent activities within a study or part of project

Date Posted

09-oct-2026

Closing Date

22-oct-2026

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.

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Über AstraZeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture wh

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