Senior Statistical Programmer

AstraZeneca; Barcelona; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

AstraZeneca in Barcelona is seeking a Senior Statistical Programmer to lead programming for global clinical studies. The role is based in Barcelona with on-site commitment of three days per week and requires fluent English.

You will turn complex trial data into decision-ready evidence and drive end-to-end programming deliverables. You will collaborate with statisticians, study teams and data managers to ensure quality, standardization (CDISC) and timely delivery, applying automation and best

Formación

• Degree in mathematics, statistics, computer science or life sciences.
• Excellent SAS programming skills and SAS macros.
• Knowledge of CDISC and clinical development processes.

Responsabilidades

• Lead programming deliverables for global studies with clear scope and plans.
• Ensure quality and timeliness of outputs, guiding others.
• Implement CDISC standards and develop automated workflows.
• Document specifications and maintain audit-ready records.
• Collaborate with statisticians, programmers and data managers.
• Identify and manage programming risks and issues.

Conocimientos

SAS

SAS macros

CDISC

Clinical development

Documentation

Stakeholder influence

Regulatory

Educación

Degree in Mathematics/Statistics/CS

Descripción del empleo

Introduction To Role

This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required.

Introduction To Role

This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required.

Are you ready to combine scientific rigor with data-driven programming to accelerate therapies that can change patients’ lives? In this role, you will lead and deliver statistical programming that turns complex clinical data into clear, decision-ready evidence for global studies.

You will join our Biometrics community in AstraZeneca’s R&D global hub in Barcelona, collaborating with statisticians, programmers, and data experts to shape end-to-end clinical deliverables. How will you use your expertise to influence pivotal study outcomes and strengthen the evidence behind regulatory submissions?

Accountabilities

• Study Programming Leadership: Lead programming deliverables for clinical studies or small to medium projects, ensuring clarity of scope, robust plans, and aligned expectations.
• Quality and Timeliness: Deliver high-quality programming outputs on schedule, embedding quality in your own work and guiding others to meet exacting standards.
• Protocol and Development Alignment: Implement statistical programming aspects of protocols and clinical development plans, translating scientific intent into reliable datasets and analyses.
• Independent Programming Excellence: Program independently with high efficiency and precision, applying advanced techniques and macros to streamline workflows.
• Specifications and Documentation: Write clear programming specifications and oversee completeness of all relevant documentation to support audit-ready deliverables.
• Standards and Automation: Ensure adherence to CDISC and internal standards; promote and apply automation to enhance efficiency and consistency across studies.
• Continuous Improvement: Contribute to or drive best practices and technical initiatives that elevate quality, speed, and effectiveness within the function.
• Risk Management: Identify, manage, and communicate programming risks proactively, maintaining delivery momentum and enabling informed decisions.
• Cross-Functional Collaboration: Work closely with statisticians, lead programmers, data managers, and study leaders to align on priorities and resolve issues rapidly.
• Vendor Partnership: Collaborate with contract programming providers to ensure outcomes meet AstraZeneca’s standards and business needs.
• Stakeholder Influence: Provide subject matter expertise on programming topics, shaping study strategies and decisions.
• Project Management: Apply project management principles to plan, track, and deliver programming aspects of drug or technical projects.

Essential Skills/Experience

• Degree in Mathematics (i.e., Applied Math, Engineering, etc.), Statistics, Computer Science, Life Science, or equivalent.
• Excellent programming skills in SAS (or R) and SAS macros.
• Proficient knowledge of the clinical development process and industry standards (CDISC).
• Ability to apply programming knowledge to problem solving.
• Ability to manage relevant documentation.
• Ability to influence relevant stakeholders on Programming related items.
• Current knowledge of technical and regulatory requirements relevant to the role.

Desirable Skills/Experience

• Broad experience across multiple therapeutic areas and across all phases of clinical trials.
• Experience in regulatory submissions and interactions.

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.

Why AstraZeneca:

Here, your programming turns raw clinical data into insights that shape trial decisions and submissions, directly impacting patients worldwide. You will work with cutting-edge methods and diverse specialists who challenge assumptions, share knowledge, and support bold ideas—balancing ambition with kindness to help you grow. We prize curiosity and resilience, empowering you to improve processes, learn from setbacks, and contribute visibly across therapy areas. This is a place where evidence matters and your craft can unlock better, faster routes to medicines.

Date Posted

18-ago-2026

Closing Date

31-ago-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.