R&D Data Sciences & AI Graduate Programme

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. 

About AstraZeneca

The AstraZeneca R&D Bioscience Graduate Programme is a two-year opportunity for graduates who’s looking for a unique chance to leverage their career. Through three eight-month placements, you'll gain hands-on experience in drug discovery and development, working across different functions and therapy areas. You’ll develop technical skills, expand your scientific knowledge, and receive mentorship from industry experts. 

About the opportunity

The AstraZeneca R&D Data Sciences & AI Graduate Programme is a two-year opportunity for graduates eager to build a career at the intersection of data science, AI, and drug discovery. Through three eight-month placements, you'll gain hands-on experience applying data science and AI techniques across various R&D functions and therapy areas. You’ll develop technical skills in data analysis, machine learning, and AI, while expanding your scientific knowledge and receiving mentorship from industry experts. This is your chance to shape the future of drug development with cutting-edge technologies. 

Programme Details 

• Start Date: September 2025 
• Duration: 2 years 
• Structure: Three individual eight-month placements 
• Focus Areas: Machine learning, AI, and data science in drug discovery and development. 

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 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. 

Essential Requirements 

• Education: Bachelor’s or Master’s degree in a quantitative science (e.g., Maths, Physics, Statistics, Computer Science) awarded in 2024 or due by September 2025. 
• 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. 

What’s next? 

• Assessment: After submitting your application, complete an online assessment (SHL). Shortlisted candidates will be invited to a full-day virtual assessment day. 

Key Dates 

• Advert Opens: 2024-12-09 
• Advert Closes: 2025-01-26 
• Assessment Center Days: Tue/Wed/Thurs, Mar 18/19/20, 2025 

Are you ready to bring your skills, drive, and curiosity to our projects? We’d love to hear from you!  

Find Out More: 

Are you curious about what it’s like to work at AstraZeneca? Learn more here: https://careers.astrazeneca.com/life-at-astrazeneca

Learn more about the programme: https://careers.astrazeneca.com/data-sciences-and-ai-graduate-programme

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.