Thesis Work, 30 Credits - Accelerating Sirna Clinical Formulation Development With Modelling And High Throughput Techniques
AstraZeneca
Gothenburg, Sweden
Enrolled in master's program at swedish university
Basic wet chemistry skills
High-throughput viscosity measurements
This thesis project focuses on developing modelling-enabled strategies to optimize high-concentration siRNA formulations for subcutaneous administration
Job Summary
This thesis project focuses on developing modelling-enabled strategies to optimize high-concentration siRNA formulations for subcutaneous administration.
The role integrates high-throughput experimentation with NMR analysis to elucidate intermolecular interactions and reduce formulation viscosity.
Candidates will gain hands-on experience in a collaborative environment between Advanced Drug Delivery and Predictive Science teams at AstraZeneca.
Matching Summary
This thesis project focuses on developing modelling-enabled strategies to optimize high-concentration siRNA formulations for subcutaneous administration.
Skills & Requirements
Must-have
Enrolled in Master's program at Swedish university
Basic wet chemistry skills
High-throughput viscosity measurements
NMR analysis for siRNA interactions
Data modelling and analysis capabilities
Nice-to-have
Experience with physics-based models
Machine learning model development experience
Strong independent problem-solving abilities
Multidisciplinary team collaboration skills
Key Requirements
Master's student enrollment at Swedish university
English communication proficiency (written and spoken)
Interest in drug formulation and biopharmaceuticals