Thesis work, 30 credits (2 Students) Agentic Conversion of Review Pipeline

Are you passionate about advancing how AI and automation can transform processes in clinical research Join AstraZenecas innovative teams where we apply leading-edge technologies and intelligent systems to ensure the highest standards and efficiency in medicine development. Collaborate with experts at the forefront of AI and digital transformation contributing to safer and more reliable clinical trial outcomes.

About AstraZeneca:

AstraZeneca is a global science-led patient-centred biopharmaceutical company focusing on discovering developing and commercialising prescription medicines for some of the worlds most serious diseases. But were more than a global leading pharmaceutical company. At AstraZeneca were dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit.

About the Opportunity:

AstraZeneca is developing a document review pipeline for clinical trial submissions that goes far beyond basic spell-checking and grammar correction. The aim is to flag more sophisticated review tasks such as assessing consistency of messaging and neutrality of tone. As a thesis worker you will design and develop an agentic system built on this pipeline capable of intelligently selecting the most relevant review tasks based on both the document content and given instructions. Your solution will generate clear user-oriented reports accessible even to users without AI expertise. This project gives you the chance to deepen your skills in generative AI and agentic systems while gaining hands-on experience with the complexities of clinical trial documentation and review processes.

Structure:

• Duration: Spring term 2026
• Credits: 30
• Two thesis workers are required for this project

We ask that you apply together with a partner. Each person must submit their own application separately but you should mention in your personal letter that you are applying jointly and include the full name of your partner.

Essential Requirements:

Enrolled in a Masters program focused in Computer Science with a focus on Data Science Machine Learning Artificial Intelligence or related areas.

So whats next

Apply today and take the chance to be part of making a difference making connections and gaining the tools and experience to open doors and fulfil your potential. We cant wait to hear from you!

We welcome your application as soon as possible but ahead of the scheduled closing date 31st of October 2025. In the event that we identify suitable candidates ahead of the scheduled closing date we reserve the right to withdraw the vacancy earlier than published.

Date Posted

Closing Date