Quantitative Systems Pharmacology Modelling Internship

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led biopharmaceutical business and its innovative medicines are used by millions of patients worldwide. AstraZeneca has long been an advocate of student work placement training. These placements immerse students in the pharmaceutical industry, allowing the opportunity to contribute to our diverse pipeline of medicines whether in the lab or outside of it. You will feel trusted and empowered to take on new challenges, but with all the help and guidance you need to succeed. At AstraZeneca, you will engage in meaningful work within a pioneering research and development organization. This placement will help you develop essential skills, expand your knowledge, and build a network that will set you up for future success. You will be surrounded by curious, passionate, and open-minded professionals eager to learn and follow the science, fostering your growth in a truly collaborative and global team.

INTRODUCTION TO ROLE

The placement is 12-week internship for PhD students in Biomedical Engineering, Computational Biology, Applied Mathematics, Chemical Engineering or a related field. The intern will be based in the Systems Medicine team, which specialises in constructing quantitative systems pharmacology models to support the development of the next generation of safe and effective drugs for patients. The ideal candidate will be familiar with quantitative systems models or similar models. Their project will involve implementing and extending an existing model, incorporating experimental data where possible, to expand its predictive capabilities. In their role, the candidate will also have the opportunity to communicate their research through oral and/or poster presentations.

ACCOUNTABILITIES

-  Extend a mechanistic model for a hematological oncology application.

-  Incorporate experimental data into the model.

-  Use model simulation to answer research questions.

-  Communicate findings in oral and/or poster presentations to cross-functional audience.

ESSENTIAL SKILLS/EXPERIENCE

-  Enrolled in a PhD program in a relevant discipline such as Biomedical Engineering, Computational biology, applied mathematics, chemical engineering or a related field.

-  Strong mathematical background and experience with modeling using ODEs.

-  Programming experience with modeling and simulation tools, e.g., MATLAB, Python, and R.

-  Knowledge of oncology modelling is a plus.

-  Enthusiasm for collaboration in cross-functional teams and public speaking.

AstraZeneca is where you can immerse yourself in groundbreaking work with real patient impact. Trusted to work on important projects, you’ll have the independence to take on new challenges while receiving all the guidance you need to succeed. Our collaborative environment is designed to help you grow professionally and personally, surrounded by passionate individuals eager to make a difference.

ADDITIONAL INFORMATION:

Applications are now open until 7/03/2025.  Start date 16/06/2025-08/09/2025 and you can expect to hear from us by the end of March 2025.

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca, 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.

Ready to make an impact? Apply now and join us on this exciting journey!

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 authorisation and employment eligibility verification requirements.