Thesis Work, 30 Credits - Accelerating Sirna Clinical Formulation Development With Modelling And High Throughput Techniques
AstraZeneca
Gothenburg, Sweden
Master's program enrollment at swedish university
Basic wet chemistry skills
High-throughput viscosity measurements
This thesis project collaborates between Advanced Drug Delivery and Predictive Science teams to accelerate siRNA therapeutic delivery through modelling-enabled strategies
Job Summary
This thesis project collaborates between Advanced Drug Delivery and Predictive Science teams to accelerate siRNA therapeutic delivery through modelling-enabled strategies.
The role involves using high-throughput experimentation and NMR analysis to screen excipients that reduce formulation viscosity for subcutaneous administration.
Candidates will gain hands-on experience developing models linking siRNA sequence and solution conditions to key formulation readouts like viscosity.
Matching Summary
This thesis project collaborates between Advanced Drug Delivery and Predictive Science teams to accelerate siRNA therapeutic delivery through modelling-enabled strategies.
Skills & Requirements
Must-have
Master's program enrollment 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 simulations
Machine learning model development experience
Independent work in multidisciplinary teams
Strong analytical problem-solving abilities
Effective English communication skills
Key Requirements
Enrolled in Master's program at Swedish university
Good analytical and problem-solving abilities
Effective written and spoken English communication