Thesis work, 30 credits - Accelerating Early Cost-Effectiveness Modelling with GenAI

Are you passionate about applying advanced technologies to real-world healthcare challenges? AstraZeneca’s marketing company in Oslo invites master’s students to apply for a thesis project using generative AI to evolve cost-effectiveness modelling for drugs in AstraZeneca’s oncology pipeline. 

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. Beyond being 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.  

Thesis work description:  

Collaborate with our highly experienced Nordic health technology assessment (HTA) team, leveraging AstraZeneca’s in house portfolio of large language models. You will optimise prompt engineering to develop early cost-effectiveness model based on internal planning materials—such as clinical trial protocols—to identify, extract, and analyse relevant data.  

The goal:
Generate early cost-effectiveness estimates for future oncology indications and compare GenAI-driven outputs against current manual modeling practices to assess efficiency and quality. Your work will help refine processes that inform critical internal planning and future investment decisions in new medicines. 

Your impact: 
You will contribute directly to improving the efficiency and accuracy of cost-effectiveness analysis for future oncology indications, supporting AstraZeneca’s mission to deliver patient value and innovative therapeutics. Your findings will influence how the potential value of new medicines are assessed, potentially streamlining planning and expediting time-to-value for future treatments. 

Structure: 

• Duration: Spring term 2026 
• Credits: 30 

Essential Requirements:

• Enrolled in a Master's program within Health Economics or similar, having taken previous modules in health economic modelling or economic evaluation. 
• Excellent in English 

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 19th 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

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.