Job Title: Senior Clinical Data Manager II
About AstraZeneca
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines targeting some of the planet’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we 're dedicated to being a Great Place to Work.
Introduction to role:
Are you ready to turn high-quality clinical data into faster, smarter decisions that bring medicines to patients sooner? In this role, you will coordinate and improve data oversight on global studies. You will ensure the data are properly captured, cleaned, and ready to support regulatory submissions and clinical insights. You will operate at the center of cross-functional study delivery—partnering with clinical operations, biostatistics, safety, programming, and external data partners—so each study runs to plan with data that stand up to inspection. As a corIn your role as a key contributor on the global study team, you will champion standards, steer vendors, and protect database integrity from build through lock. Can you see yourself anticipating risk, shaping solutions, and leading vendors to first-time-right database locks?
As Senior Clinical Data Manager II, you will be responsible for coordination of the Clinical Data Management (CDM) deliverables on assigned clinical studies and may be an expert on CDM processes, standards, and technology. May act as a Core member of Global Study Team (GST) and may lead studies with less complexities. Collaborates with DM vendors and liaise with a variety of departments on a local and/or global level to ensure each study is run in accordance to the specifics of the model. Maintains Business Continuity for CDM processes and standards including integrity of the clinical database for the relevant studies. May work under direction of a Project Data Manager.
Accountabilities:
Coordinate Clinical Data Management deliverables on assigned studies, depending on the relevant model and DM Vendor. Take accountability and serve as the first line of contact at the study level.
Demonstrate leadership and operational knowledge in the planning and delivery of CDM deliverables at a study level, potentially under the mentorship of a Project Data Manager.
Communicate and collaborate effectively with all study team members.
Act as the primary point of contact for the DM Vendor and provide guidance and supervision to the Lead Data Manager/DM Team Lead working on the study (CRO or in-house).
Provide oversight of day-to-day operational aspects of CDM for assigned studies.
Identify risks and collaborate with the DM Vendor to mitigate them. Escalate issues and risks when necessary.
Understand corporate, therapeutic/indication-specific, or programme-specific data capture AstraZeneca standards.
Provide input into CDM-related activities associated with regulatory inspections and audits for assigned studies.
Support Senior Leaders in overseeing CDM Vendor performance, depending on the relevant model.
Review, assess, and manage DM Vendor delivery against KPIs, budget, and overall performance.
Oversee vendor timelines and milestone deliverables for assigned studies.
Ensure DM Vendor billing is accurate and provide recommendations for payment of invoices.
Drive adherence to AstraZeneca CDM standards and processes for data quality and consistency of data capture for assigned studies.
Demonstrate willingness to take on ad hoc activities consistent with current CDM work experience.
Ensure relevant training is completed prior to performing tasks.
Mentor junior Clinical Data Management colleagues.
Perform CDM-related ad hoc requests from the Line Manager.
Essential Skills/Experience:
University or college degree in Life Sciences or a related subject, Pharmacy, Nursing, or an equivalent relevant degree.
Minimum 8+ years of relevant background in the biopharmaceutical industry.
Knowledge of Clinical Data Management and experience within the Biotech, Pharmaceutical, or CRO industry.
Demonstrated current understanding of Good Clinical Data Management Practices (GCDMP) and relevant regulatory requirements.
Demonstrated experience with clinical databases, different clinical data management systems, and Electronic Data Capture (EDC).
Demonstrated understanding and experience of query management processes and reconciliation activities.
Ability to work flexibly across simultaneous projects and proactively manage time to meet deadlines.
Excellent written and verbal communication skills.
Ability to work effectively in a global team environment.
Excellent organisational and analytical skills, with a high level of attention to detail.
Desirable Skills/Experience:
Demonstrated knowledge of the clinical and pharmaceutical drug development process.
Demonstrated understanding of clinical data system design, development, validation, and system interoperability.
Demonstrated ability to work effectively with external partners.
Understanding of database structures, programming languages, data standards (CDISC), and practices as they apply to CRF design, database development, data handling, and reporting.
Knowledge of SQL or SAS software.
Experience leading clinical studies as a Data Management Lead.
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. To fully experience our collaborative, in‑person environment, candidates who are not currently based in the job location will need to relocate. In line with our company policy, relocation support is offered for moves within the country, ensuring a smooth transition.
Join us in our unique and ambitious world.
Why AstraZeneca:
Join an organization passionate about science, data, and technology to drive meaningful breakthroughs for patients. You will work shoulder to shoulder with clinicians, biostatisticians, operations specialists, and data scientists—often around the same table—turning ambitious questions into concrete study plans and decisive results. Here, curiosity is encouraged, informed risk-taking is supported, and learning is continuous, backed by a strong pipeline and real-world impact. We bring diverse minds together from industry and academia, pair ambition with kindness, and give you the tools and empowerment to explore, experiment, and deliver data that shape the future of medicine.
Call to Action:
Bring your data leadership where it can change outcomes for millions—apply today to build cleaner datasets, faster decisions, and confident submissions!
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 align 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
15-Jun-2026Closing Date
22-Jun-2026AstraZeneca 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.