Senior Data Programmer CPQP Programming (PKPD Pharmacometrics NONMEM SAS Programmer)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
Bachelors 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 -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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
07-Nov-2025Closing Date
30-Nov-2025AstraZeneca 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.
Required Experience:
Senior IC
Key Skills
- Databases
- SQL
- FDA Regulations
- R
- Relational Databases
- Data Management
- Data Structures
- Clinical Trials
- Statistical Software
- CDISC Standards
- SAS
- Oracle
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
