Thesis Work, 30 Credits - Understanding And Managing Apparent Over-recovery In Nanocrystal Formulations During Early Development
AstraZeneca
Gothenburg, Sweden
Hands-on lab experience with analytical techniques
Method development and qualification knowledge
Experimental design and execution
Join our team and contribute to making pharmaceutical analytical data more reliable and formulation processes more robust
Job Summary
Join our team and contribute to making pharmaceutical analytical data more reliable and formulation processes more robust.
You’ll be working on meaningful projects to make an impact and deliver real value for our patients and our business.
This thesis aims to transform the approach from reactive troubleshooting to predictive management, streamlining early formulation and analytical workflows.
Matching Summary
Join our team and contribute to making pharmaceutical analytical data more reliable and formulation processes more robust.
Skills & Requirements
Must-have
Hands-on lab experience with analytical techniques
Method development and qualification knowledge
Experimental design and execution
Data documentation and scientific communication
Collaborative work with formulation and analytical teams
Proactive hypothesis-driven mindset
Nice-to-have
Experience with colloids and nanosuspensions
Basic solid-state analytical methods
Predictive and learning-based workflow improvement
Fluent English communication skills
Key Requirements
Enrolled in master’s program in relevant scientific fields
Experience with HPLC/UPLC, UV–Vis, DLS/laser diffraction
Knowledge of dilution and sampling best practices
Ability to communicate findings in writing and presentations