Statistical Programmer II

Introduction to role: Are you ready to turn clinical data into reliable evidence that speeds medicines to patients? Do you thrive in a high-learning environment where your code directly shapes trial decisions and future submissions? As a Statistical Programmer II, you will apply your programming skills to real-world studies of moderate scope, translating complex clinical data into clear, compliant outputs that enable confident decision making. You will join a close-knit community of curious experts who share knowledge openly and challenge ideas to get to better answers. Working under the guidance of experienced programmers and alongside statisticians and data managers, you will deliver high-quality SDTM, ADaM and TFL outputs while growing your technical and domain expertise. Your work will be visible across studies and therapy areas, and will contribute to the continuous improvement of how we design, analyze and report clinical research.

Accountabilities:

• Clinical Data Standards Programming: Produce SDTM and ADaM datasets under guidance, ensuring traceability and alignment with industry standards for studies of moderate scope.
• Analysis and Reporting: Build, validate and document TFLs that clearly communicate study results and support clinical and regulatory decisions.
• Quality and Compliance: Work within established frameworks, embedding quality into every deliverable and following procedures that meet audit-ready expectations.
• Protocol and Plan Interpretation: Understand protocols and clinical development plans to anticipate data needs and connect programming approaches to study objectives.
• Collaboration and Communication: Partner with statisticians, data managers and lead programmers; proactively update your lead on progress, risks and trade-offs.
• Autonomy with Support: Take ownership of well-defined work packages while seeking mentorship to extend your capabilities and accelerate delivery.
• Technical Growth: Expand proficiency in SAS and deepen knowledge of CDISC and other industry standards; contribute to continuous improvement initiatives that enhance reproducibility and efficiency.
• Cross-Functional Awareness: Learn the roles and skills of other functions in drug development to improve end-to-end delivery and influence how data informs decisions. 4. Essential Skills/Experience:
• Degree in Mathematical (i.e., Applied Math, Engineering, etc), Statistical, Computer Science, Life Science, or equivalent - Intermediate programming skills - Basic knowledge of the clinical development process - Knowledge of industry standards - Prior usage of a statistical/mathematical programming language 5. Desirable Skills/Experience:
• Hands-on SAS programming experience in a clinical trial setting, including dataset creation, derivations and validation.
• Familiarity with CDISC standards (SDTM, ADaM) and associated implementation guides.
• Experience programming and validating TFLs and adhering to statistical analysis plans.
• Exposure to regulatory submissions and expectations for traceability and reproducibility.
• Working knowledge of R or Python for exploratory analysis, data checks or automation.
• Experience with version control and collaborative development practices (e.g., Git, code review).
• Strong attention to detail and structured problem-solving in a highly regulated environment.
• Effective communication skills to translate technical concepts for non-programming partners and collaborate with statisticians, data managers and study teams. 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.

Here, your programming expertise fuels decisions that matter—turning diverse clinical data into insights that influence global development paths. You will work with cutting-edge tools and standards in an environment that mixes scientific rigor with practical delivery, where unexpected teams come together to challenge thinking and move faster. We invest in technology and in people, creating space for continuous learning, constructive feedback and recognition of impact. You will be encouraged to ask bold questions, supported to try new approaches and valued for kindness alongside ambition, all while seeing how your code contributes to better outcomes for patients.

Step into a role where your craft and curiosity accelerate meaningful science—send your CV today and help shape the evidence behind tomorrow’s medicines!

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.