SENIOR CLINICAL DATA MANAGER II

Join our dynamic team as a Senior Clinical Data Manager II, where you will be responsible for coordinating the Clinical Data Management (CDM) deliverables on assigned clinical studies.
You will act as a core member of the Global Study Team and lead studies with less complexities.
This role is within our Biopharmaceuticals R&D department, where we are driven by our desire to understand and reveal new insights.
As a Senior Clinical Data Manager II, you will coordinate the Clinical Data Management deliverables on assigned studies, serve as the first line of contact at the study level, and demonstrate leadership in the planning and delivery of CDM deliverables.
You will communicate and collaborate effectively with all study team members and oversee day-to-day operational aspects of CDM for assigned studies.
You will also mentor junior Clinical Data Management colleagues and perform CDM related ad-hoc requests from Line Manager.
Essential Skills/Experience.
- University or college degree in the life sciences or related subject, pharmacy, nursing or equivalent relevant degree - Knowledge of Clinical Data Management and experience in the Biotech/Pharma/CRO industry - Demonstrated current understanding of Good Clinical Data Management Practices (GCDMP) and relevant regulatory requirements - Demonstrated experience of clinical databases, different clinical data management systems and electronic data capture (EDC) - Demonstrate understanding and experience in query management process and reconciliation activities - Ability to work flexibly on simultaneous projects and proactively manage time to meet own deadlines.
- Excellent written and verbal communication skills - Ability to work in a global team environment - Excellent organizational and analytical skills and high attention to detail Desirable - Demonstrated knowledge of 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 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.
Join us in our unique and ambitious world.
At AstraZeneca, we follow the science to explore and innovate.
We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases.
Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world.
We are committed to making a difference.
We have built our business around our passion for science.
Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
Are you ready to make a difference? Join us at AstraZeneca, where we are driven by our desire to understand and reveal new insights.
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.