12 Month Mathematical/Pharmacology Modelling in Drug Discovery- Undergraduate Industrial Student Placement

AstraZeneca UK

Location: Cambridgeshire

Job Type: Full time


Perfection not required
Excited about this role, but not sure if you meet 100% of the criteria? Employers would still love to hear from you.

12 Month Mathematical/Pharmacology Modelling in Drug Discovery- Undergraduate Industrial Student Placement

Location: Cambridge, UK

Salary: Competitive

About AstraZeneca

We are a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide. At AstraZeneca, we’ve long been advocates of industrial placement training. We believe it is our responsibility to help promising scientists develop into the researchers of the future, by immersing them in a world of practical science. This is achieved by aligning each student with a research team working on cutting-edge drug discovery projects. You will feel trusted and empowered to take on new challenges, but with all the help and guidance you need to succeed.

About the Industrial Placement Programme

The Undergraduate Industrial Placement Programme provides the opportunity for you to undertake a 12-month placement that will introduce you to the world of innovative drug discovery where we push the boundaries of science to deliver life-changing medicines. You’ll get to do meaningful work in a pioneering research and development driven organisation. As well as developing the skills, knowledge and connections that will set you up for success you will be among curious, passionate and open-minded people eager to learn, follow the science, and grow as professionals in a truly collaborative and global team.

Mathematical /Pharmacology Modelling in Drug Discovery

As a placement student you will be embedded in our Oncology research team working with world class scientists to deliver new medicines to patients. Your placement will be in a mathematical modelling group that are integrated in project teams working with pharmacologists to build a quantitative understanding of how to optimally use new medicines in terms of the dose and schedule required to maximise benefit whilst minimising undesired effects. This is done by building mathematical models reflecting the mechanisms of drug disposition (pharmacokinetics) and pharmacology (pharmacodynamics), using in vitro and in vivo datasets. You will have the opportunity to develop a range of transferable attributes including communication and presentation skills. You will also be given access to AstraZeneca’s early talent network and employee resource groups, and to a range of volunteering opportunities in STEM outreach and across local communities.

Who can apply?:

  • Undergraduates studying for a numerate degree including: Maths, Statistics, Data Science, Computer Science, Engineering, Pharmacology or similar.
  • Experience in Data Science, Simulation, Computational Biology/Chemistry, or Bio-/Cheminformatics would be advantageous, but not essential.
  • At the time of application, candidates should have completed at least one year of their undergraduate course.
  • The Industrial placement will be undertaken during the third, or potentially fourth, year of an undergraduate course.
  • Performing at a high level, with the potential to achieve a 1st or 2:1 class degree.

Additional Information:

Applications will be open until 23rd October 2022, with interviews expected to take place in November 2022.

Date Posted


Closing Date


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 authorization and employment eligibility verification requirements.

You’ve got this!