BioPharmaceuticals and Oncology Research & Development Undergraduate Industrial Placement Programme - 12 month placement
Locations: Cambridge, Alderley Park, UK and Gothenburg, SE
Applications for our 2021 intake University Industrial Placement Studentships (UIPS) closed on the 18th October 2020.
We will open applications for our 2022 intake in September 2021.
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, lab-based science. This is achieved by aligning each student with a research team working on cutting-edge drug discovery projects and allowing you to make a significant contribution to the development of new medicines.
About the Programme
The BioPharmaceuticals and Oncology Research & Development (R&D) 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. Laboratory-based placements and Data Science & Artificial Intelligence (AI) placements will be offered.
What you can expect:
We offer 12-month placements at our Cambridge and Alderley Park campuses in the UK, and at our Gothenburg campus in Sweden, in one of our focus areas:
Cardiovascular, Renal and Metabolism
Oncology
Respiratory
Inflammation and Autoimmunity
Neuroscience
Infection and Vaccines
Laboratory-based Placements
You will be embedded in one of our research teams working with world class scientists to deliver new medicines to patients. You will spend the majority of your placement working on a bespoke laboratory-based project and will be assigned a dedicated Industrial Project Supervisor. 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 to a range of volunteering opportunities in STEM outreach and across local communities.
Data Science and AI Placements
AI, including deep learning (computer algorithms inspired by biological neural networks), is revolutionising drug discovery and development from drug design to pivotal clinical trials and beyond. You will join a multi-disciplinary community of specialists to harness the power of our data and AI to deliver life-changing medicines to patients worldwide. You will conduct hands-on data mining/machine learning projects based on specific datasets, be responsible for developing and piloting analytical tools, algorithms and methods, and will be assigned a dedicated Industrial Project Supervisor. 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 to a range of volunteering opportunities in STEM outreach and across local communities.
Who can apply?
In all of our Industrial Placement programmes we look for individuals who have drive, enthusiasm, strong team working skills, a desire to learn, and a real passion for drug discovery and development.
Laboratory-based Placement Applicants should be:
- Undergraduates studying for a BSc, integrated Masters (e.g. Msci/MbiolSci/Mpharmacol), or equivalent in any Biological or Life Science-aligned course
- 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.
Data Science & AI Placement Applicants should be:
- Undergraduates studying for a numerate degree including: Maths, Statistics, Data Science, Computer Science, or similar
- Experience in Data Science, Machine Learning, Artificial Intelligence, 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.
