Thesis work, 30 credits (2 Students) - Agentic Conversion of Review Pipeline
AstraZenecaSweden4 days ago
Full-timeOther
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Are you passionate about advancing how AI and automation can transform processes in clinical research? Join AstraZeneca’s 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 world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we're 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
Essential Requirements
Enrolled in a Master's program focused in Computer Science, with a focus on Data Science, Machine Learning, Artificial Intelligence, or related areas.
So, what’s 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 can´t 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
16-okt.-2025
Closing Date
31-okt.-2025
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
About AstraZeneca
AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we're 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
Essential Requirements
Enrolled in a Master's program focused in Computer Science, with a focus on Data Science, Machine Learning, Artificial Intelligence, or related areas.
So, what’s 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 can´t 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
16-okt.-2025
Closing Date
31-okt.-2025
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Key Skills
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