What You’ll Gain 

Hands-On Experience: Collaborate with scientists to apply data science, AI, and machine learning techniques to advance drug discovery and development. 

Professional Growth: Develop industry-specific and technical knowledge, supported by a mentor and a dedicated program management team. 

Networking: Build collaborative relationships with specialists and leaders within AstraZeneca and leading academic and biotech research institutions. 





Placement Opportunities 

Target Identification: Identify new targets for novel medicines. 

Drug Design and Development: Optimize the design, development, and manufacturing of new drugs. 

Clinical Trials and Digital Health: Redefine clinical trials and digital health to improve patient experience and outcomes. 



Post-Program Opportunities  

Approximately 50% of graduates pursue a PhD, while others seek roles within AstraZeneca or elsewhere. Where will your journey take you?    



Essential Requirements 

Education: Bachelor's or master's degree in a quantitative science (e.g., Maths, Physics, Statistics, Computer Science) awarded in 2025 or due by September 2026. 

Experience: Hands-on experience in Data Science, AI, Machine Learning, Statistics, Computational Biology, Computational Chemistry, Bioinformatics, or Cheminformatics. 

Technical Skills: Deep understanding of key machine learning or statistical models. Proficiency in Python or multiple data-centric programming languages for Big Data analysis. 

Attributes: Innovative thinking, enthusiasm, energy, drive, strong critical thinking, planning, organizational and time management skills, and ability to work collaboratively.