Senior Data Programmer CPQP Programming (PKPD / Pharmacometrics / NONMEM / SAS Programmer)

Job Title: Senior Data Programmer CPQP Programming Global Career Level: D Skillsets Required: PKPD / Pharmacometrics / NONMEM / SAS Programmer Introduction to role: Are you interested in shaping the future of drug development? We are looking for a Senior Data Programmer CPQP Programming to join our Clinical Pharmacology and Quantitative Pharmacology Data Programming team . In this position, you will be responsible for preparing, programming, validating, and diagnosing data to support Pharmacometrics and Clinical Pharmacology analyses. Your work will span all phases of drug development at both the study and compound levels. Accountabilities: As a Senior Data Programmer CPQP Programming , you will be responsible for data cleaning, manipulation, transformation, and integration at both the study and compound level. You will apply advanced data integration techniques that directly contribute to the value of each study and compound. Key responsibilities include pooling data from study and compound-level SDTM/ADaM datasets to prepare analysis-ready data for Pharmacometrics Modeling and Simulation (M&S) software , such as NONMEM . This work will play a critical role in informing study design, dose selection, dose justification and guiding go/no-go decisions. Additionally, you will contribute to internal initiatives that advance the Pharmacometrics discipline and ensure compliance with Good Clinical Practice (GCP) regulations . Essential Skills/Experience: Proficient oral and written English communication skills Strong SAS/R programming skills Bachelor’s degree MS preferred with 6 to 8 years relevant experience required Expert knowledge of data preparation and programming practices (CDISC, SDTM, ADaM) Demonstrated data programming and clinical development expertise Good knowledge of global regulatory, compliance, processes, standards Varied programming languages (SAS, R, Python) Experience in early and late-stage drug development Quantitative/Scientific background (Statistics, Engineering, Biological Science) Desirable Skills/Experience: Demonstrated expertise in data preparation and programming to support Pharmacometrics Modeling and Simulation (M&S) software (e.g. NONMEM, Monolix, R, Matlab) Knowledge in pharmacology, drug targets and core Therapy areas (e.g. Oncology, Respiratory, Renal Metabolism etc.) Relevant regulatory experience 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 are committed to making a difference by fusing data and technology with scientific innovation to achieve breakthroughs in healthcare. Our dynamic environment encourages creativity and bold decision-making as we strive to treat, prevent, modify, and even cure complex diseases. With a focus on collaboration and inclusivity, we unite diverse global knowledge to create impactful solutions for patients worldwide. Here, curiosity thrives as we explore new ways to handle diseases and push the boundaries of science. Ready to make an impact? Apply now and be part of a team that is transforming the future of healthcare! Date Posted 09-Jan-2026 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.