Topic: Risks with Artificial Intelligence
Research and development (R&D) is a risky endeavour for pharma companies. The average success rate of pharmaceutical R&D is around 4%, while 96% of R&D projects fail due to lack of efficacy, toxicity or other reasons. Pharma companies use new technologies, such as AI, to reduce R&D-associated risks and to increase the efficiencies of their R&D organizations. But what are the risks associated with using AI?
Scope of the thesis:
In your project, you will set-up a risk matrix for pharma R&D and use this matrix to evaluate the risk potential of machine learning, big data and AI. Concrete you will answer the questions: Can machine learning, big data and AI reduce risks of pharma R&D? What are the concrete applications and how can they have an impact on risk? And what are the risks associated with using machine learning, big data and AI in pharma R&D?
- Theoretical background of the pharma business
- Organized, conscientious and result-oriented working attitude
- Very good communication and written skills in English