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Senior Clinical Data Scientist I/ Senior Clinical Data Scientist II (12 months secondment/fixed-term)

Lieu Varsovie, Voïvodie de Mazovie, Pologne Job ID R-217602 Date de publication 01/17/2025

Centralised Monitoring (CM) and Centralised Statistical Monitoring (CSM) are a part of Risk-based Quality Management. CM leads work with global and clinical project teams guiding them through the study de-risking exercise, helping to identify areas critical to study quality, as well as understand critical data and processes, risks associated with these processes and measures to control such risks. The CM Team builds data analyses, visualizations, notifications and perform data reviews to highlight disturbing signals in accumulating clinical data, which may be indicative of non-compliance with the study protocol, GCP or study procedures.

Role Overview

As a Clinical Data Scientist I at AstraZeneca, you will play a pivotal role in developing Centralised Monitoring (CM) functionalities. You will be integral to the Risk-based Quality Management process, working closely with global and clinical project teams to guide them through study de-risking exercises, identify critical areas for study quality, and understand risks associated with processes and data. Your expertise will be essential in building data analyses, visualizations, and notifications to ensure the integrity and compliance of clinical data.

Typical Accountabilities

  • Work independently to take responsibility for specific CM deliveries

  • Demonstrate advanced R programming skills

  • Develop new standard CM functionalities, including gathering requirements, programming, testing, and documentation

  • Design and lead the development of study-specific CM analyses, coordinating the work of other involved personnel

  • Lead the development of data mapping to CM functionalities, ensuring alignment with requirements and acting as a subject matter expert

  • Identify opportunities to improve deliveries and best practices

  • Provide practical solutions for problems

  • Lead the delivery of specific tasks with other CM staff

  • Contribute to the function by training and mentoring more junior staff

  • Lead activities related to the development of CM functionalities for a study or project

Essential Qualifications

  • Educational degree (BSc/MSc/PhD) in Life Science, Computer Science, or Information Science, with at least 2 years of experience in information and knowledge management in a clinical or scientific setting, or an equivalent combination of education and experience

  • Proficiency in R programming language

  • Strong communication skills in both written and spoken English

  • Team player with the ability to collaborate effectively

  • Basic knowledge of SQL

Desirable Qualifications

  • Previous knowledge of at least one Business Intelligence (BI) platform is advantageous

  • Prior experience in life science and clinical studies is beneficial

Why AstraZeneca?At AstraZeneca, we are driven by an ambitious purpose and embrace an innovative approach. Joining our team means being part of a dynamic, inspiring culture that celebrates forward thinking, urgency, curiosity, creativity, and a passion for science. We are committed to putting patients first and are eager to learn from both success and failure. If you are ready to move forward in your career, we invite you to be part of an outstanding place to work where you can achieve both personal and organizational goals.

So, what’s next! Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.



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 authorisation and employment eligibility verification requirements.

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