Thesis Work, 30 Credits - Real-Time Prediction of All Components in Pharmaceutical Formulations Using NIR and Raman Spectroscopy

Are you interested in applying spectroscopy, chemometrics and process modelling to real-time pharmaceutical manufacturing? This interdisciplinary thesis project will investigate whether NIR and Raman spectroscopy can independently predict all active pharmaceutical ingredients and excipients in a formulation during continuous direct compression. 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: As a Thesis Worker at AstraZeneca, you'll find an environment that's full of unique opportunities and exciting challenges. Here, you'll have the opportunity to pursue your areas of interest whilst equally developing a broad skillset and knowledge base to get the best out of your experience. You'll be working on meaningful projects to make an impact and deliver real value for our patients and our business. Thesis work description: Real-time monitoring is an important part of advanced pharmaceutical manufacturing. In this project, you will investigate how NIR and/or Raman spectroscopy, together with process information, can provide reliable information about the composition of pharmaceutical formulations. The work combines pharmaceutical manufacturing, spectroscopy, chemometrics and process modelling, using real formulations and PAT data. You will develop and evaluate modelling approaches and investigate the chemical, physical and statistical factors that affect their performance. If possible, selected approaches will be tested on a continuous direct compression platform, with potential for real-time implementation. The project is exploratory, and demonstrating that certain formulation components cannot be independently quantified is considered a valuable scientific outcome. The work will be carried out in close collaboration with scientists experienced in PAT, spectroscopy, pharmaceutical processing and data analysis.

. 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.

08-okt.-2026

29-okt.-2026 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.