Research and Development (R&D) Data Sciences & AI Graduate Programme - UK
Role details
Job location
Tech stack
Job description
- Professional Growth: Develop both industry-specific and technical knowledge, supported by a mentor and a dedicated programme 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.
Requirements
Fuel your curiosity, make an impact, and follow the science. If you have a quantitative science-focused Bachelor's or Master's degree and are eager to develop your skills in data science and artificial intelligence, the R&D Data Science & AI Graduate Programme is your career springboard. Gain invaluable exposure and insights across our diverse R&D functions, accelerate your learning, and unlock opportunities to realize your full potential in cutting-edge science and innovation., * 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.