Statistical Programming Associate Director

Statistical Programming Associate Director

Are you an experienced Statistical Programmer with good knowledge of clinical drug development? Would you like to be part of a fast-paced and agile global team that has direct strategic impact on drug development, empowered and trusted to innovate and experiment? Join us at AstraZeneca CVRM (Cardiovascular Renal Metabolism) Biometrics to impact a wide range of engaging projects striving to make a difference for millions of patients. Our Biometrics team consists of Statisticians, Programmers, Information and Data Scientists. We drive and contribute to optimized clinical drug development programs and access to information and scientific knowledge management.

We are now offering an exciting opportunity for a dedicated and highly motivated individual to join us in the role as Statistical Programming Associate Director.  

This role is a delivery focused technical leadership role for programming and overseeing deliverables with quality and timeliness, following established standards and processes. This leadership role requires profound programming experience and excellent industry knowledge to independently lead implementation of programming activities and guide other programmers. You will provide subject matter expertise within the Programming discipline and act as a specialist within cross-functional teams to deliver continuous improvement.

Accountabilities:

As a Statistical Programming Associate Director, you are responsible for leading and directing the full scope of project delivery and/or lead a technical project within the TA/Drug Project/Study/Function.

Typical accountabilities include:

• Leading implementation of statistical programming aspects of the protocol or clinical development program
• Responsible for the high quality of all project deliverables, holding partners and providers accountable for the quality of their deliverable and/or technical subject matter expert for aspect(s) of the TA, Project, or function
• Leading or contributing to cross-functional administrative or process improvement initiative(s)
• Driving the development of best practices to improve quality, efficiency and/or effectiveness within the function
• Driving standards development and implementation
• Managing and escalating risk in complicated or novel situations within study and/or projects
• Providing programming expertise to the team
• Providing tactical inputs and/or driving ideas and improvements
• Contributing to the function by supporting recruiting and/or providing training and mentorship
• Identifying opportunities to improve methodology and provides practical solutions for problems
• Managing activities of our external partners (i.e. Contract Research Organisations)
• Influencing stakeholders by providing subject matter expertise on programming related items
• Ensuring compliance to standards and automation usage
• Employing all project management practices in managing drug or technical projects
• Providing input to capacity management for all projects in scope
• Maintaining expertise of the latest industry and regulatory requirements to stay current

Education, Qualifications, Skills, and Experience:

• Degree in Mathematics (i.e., Applied Math, Engineering, etc), Statistics, Computer Science, Life Science, or equivalent
• Excellent programming skills in SAS (or R) and SAS macros
• Thorough knowledge of the clinical development process
• Thorough knowledge of industry standards (CDISC) and ability to implement them
• Ability to apply programming expertise to problem solving and troubleshooting for teams
• Current knowledge of technical and regulatory requirements relevant for the role
• Ability to proactively manage concurrent activities within a project
• Proficient ability to influence relevant stakeholders on programming related items
• Ability to manage risk in complicated or novel situations
• Project Mindset

Desirable Skills/Experience:

• Broad experience across multiple therapeutic areas and across all phases of clinical trials
• Experience in regulatory submissions and interactions

At AstraZeneca, we believe in the potential of our people, and you’ll develop beyond what you thought possible. We make the most of your skills and passion by actively supporting you to see what you can achieve no matter where you start with us. As a Statistical Programming Associate Director, you’ll play a pivotal role in making a positive impact on changing patients’ lives.

This role is an office-based role with some degree of flexibility. Our vibrant office sites provide a diverse and collaborative work environment, where interactions lead to ideas and innovations, giving you and others the perfect opportunity to learn, grow and develop careers.

Are you ready to bring new ideas and fresh thinking to the table? Apply today!

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.

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.