SENIOR STATISTICAL PROGRAMMER II - CARDIOVASCULAR AND RENAL METABOLISM

Are you ready to challenge yourself with interesting work? We are looking for a Senior Statistical SAS Programmer II, a role that is delivery-focused and responsible for programming deliverables with quality and timeliness.
This position requires high technical skills and thorough industry knowledge to independently perform the programming tasks while using judgement about seeking guidance in complex situations.
You will be responsible for leading the programming deliveries of clinical studies or small to medium sized clinical projects and can lead cross-functional teams to deliver continuous improvement.
This is your chance to be part of our Biopharmaceuticals R&D team! Accountabilities.
Responsible for leading the programming deliveries of a clinical study or a small to medium sized and complex clinical project Implements statistical programming aspects of the protocol or clinical development program Ensures high quality is built into own deliverables and the quality delivered by other programmers Programs independently with high efficiency and quality Writes specifications and lead all aspects of completeness of relevant documentation Gives to or drives the development of standard processes to improve quality, efficiency and effectiveness within  function Ensures compliance to standards and automation usage Plans and leads team activities and tasks  Identifies, manages and communicates risk within the assigned studies and/or projects Works proactively with study team members including but not limited to the statistician, lead programmer, data manager and study leader Works cooperatively with contract programming providers Influences collaborators by providing subject matter expertise on programming related items Contributes to or leads technical initiatives •Employs project management practices in managing programming aspects of drug or technical projects Essential Skills/Experience.
Degree in Mathematics (i.
., Applied Math, Engineering, etc), Statistics, Computer Science, Life Science or equivalent Excellent programming skills including macro language, SAS Programming skills.
Proficient knowledge of the clinical development process Thorough knowledge of industry standards Ability to apply programming knowledge to problem solving Ability to manage relevant documentation Ability to influence relevant stakeholders on Programming related items Desirable Skills/Experience.
Experience as a Lead Programmer, Statistician, Data Manager, Line Manager Standards & Automation collaboration partner Drug project functional leads demonstrated planning and organisational skills At AstraZeneca, we work on some of the most complex and interesting challenges.
A fast-paced and agile team, we are empowered and trusted to innovate and experiment.
With access to our extensive capabilities and comprehensive pipeline, you'll be involved in countless submissions and a wide range of engaging projects along the complete drug development process.
Here you have to be dedicated to what you do.
Working with unknowns doesn't faze us at all.
We are courageous.
We speak up, share opinions and make bold decisions that could change the course of patients' lives.
A team of dedicated experts, we combine specialist knowledge with curiosity.
Always searching for better ways of doing things and getting the best end-result.
Are you ready to make a profound impact with research that makes a clear and tangible difference? Apply now! 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.