Associate Director, Statistical Programming (LM)

Location: Warsaw, PolandHybrid model of work: 3 days in office, 2 remote per week

Associate Director, Statistical Programming (LM) line management

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, Statistical 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 Associate Director, Statistical Programming. Within this role you have an opportunity to participate in project related tasks technical tasks and manage group of dedicated direct reports.

The Associate Director Statistical Programming is accountable for leading, managing and developing a team of programmers. They present a delivery/department mindset and management skills to run and oversee one moderate scope and complexity drug project or multiple smaller ones. As a recognized expert within their own field they are often the first point of contact for related queries, acts as a coach or mentor for staff, and acts as a specialist within cross-functional teams to deliver continuous improvement.

Accountabilities:

As a Associate Director, Statistical Programming, 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:

Leads, manages and develops a group of programmers, providing guidance and mentorship. Manages training and

timesheet compliance

Work according to agreed functional and regional SHE strategy by ensuring proper management of SHE risks,

incidents, reporting, follow-up and improvements.

Arranges and structures the team in order to create an environment where the team can work productively and

collaboratively together

Defines, monitor and assess objectives for team

Provides input to capacity management for all projects in scope

Captures business needs and plans recruitment accordingly

Recruits and builds the team with the appropriate skill set

Maintains talent and ensures talent development

Maintains own and team knowledge of the latest industry and regulatory requirements to stay current in the Programming practices

Leads Implementation of statistical programming aspects of the of the protocol or clinical development program

Acts as technical subject matter expert for aspect(s) of the TA, Project, or function

Manages activities of our external partners (i.e. Contract Research Organisations)

Accountable for managing contracting staff

Manages and escalate risk in complicated or novel situations within their study and/or projects

Overall accountability for the quality and compliance to internal, external and regulatory requirements for the delivery of programming aspects in clinical development; holds partners and providers accountable for the quality of their deliverables

Leads or participates in cross-functional administrative or process improvement initiative(s)

Drives the continuous improvement of the team and function through personal action and process initiatives

Drives the development of best practices to improve quality, efficiency and/or effectiveness within function

Contributes to the function by providing training and mentorship

Influences stakeholders by providing subject matter expertise on programming related items

Drives standards development and implementation

Measures the compliance of and ensures that there is a consistent approach to data standards and automation

and its implementation

Collaborates/influence cross-functionally and represents Programming leadership where required

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

Demonstrated leadership capability and proven ability to lead teams towards a common goal

Demonstrated planning and organizational skill

Ability to influence relevant stakeholders and global teams

Ability to develop individuals

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:

Experience implementing business processes

Experience in problem solving and conflict resolution skills

Broad experience across multiple therapeutic areas and across all phases of clinical trials

Experience in regulatory submissions and interactions

Date Posted

09-wrz-2026

Closing Date

24-wrz-2026

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.