Statistical Programmer II

Are you ready to make a difference in the world of biopharmaceuticals? As a Statistical Programmer II, you'll play a crucial role in developing and validating programs that create datasets conforming to Alexion and CDISC standards. Your work will be pivotal in generating Tables, Listings, and Figures for analysis purposes, ensuring adherence to ICH guidelines, Good Clinical Practices, and regulatory requirements. You'll be part of a dynamic team, contributing to moderate scope and medium complexity studies or drug projects. With guidance from experienced programmers, you'll have the opportunity to enhance your skills in SAS programming and statistical concepts while collaborating across functions to drive continuous improvement. Accountabilities:

• Support development of technical programming specifications for SDTM, ADS, or ADaM standards under guidance.
• Develop and validate programs for generating SDTM datasets, analysis datasets, and tables, listings, figures/graphs based on Protocol and SAP.
• Understand protocols and clinical development plans to contribute effectively.
• Ensure high quality in deliverables within established frameworks.
• Work independently on well-defined scopes of work.
• Acquire knowledge of the drug development process and industry standards.
• Increase proficiency in SAS and understand roles within clinical study teams.
• Collaborate with external vendors and contract programmers.
• Provide updates on project progress and support leadership in implementing department standards.
• Contribute ideas for optimizing standard operating procedures.

• 2 to 4 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry.
• Ability to understand development and validation of technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs.
• Collaborative problem-solving skills.
• Clear communication with management and team members.
• Basic competence in using SAS/Base, SAS/Macro, SAS/STAT, or other statistical computing software.
• Basic understanding of relational databases and good programming practices.

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 fuse science and data to develop bold solutions that positively impact patients' lives. Our environment encourages curiosity and innovation, allowing you to explore new methodologies and models that drive scientific breakthroughs. With a focus on collaboration across therapy areas, you'll have the opportunity to grow your expertise while contributing to meaningful research that makes a tangible difference globally.