Research and Development (R&D) Graduate programme – Data Science & AI – Sweden

Fuel your curiosity make an impact and follow the science. If you have a quantitative science-focused Bachelors or Masters 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

AstraZeneca is a global science-led patient-focused biopharmaceutical company that focuses on the discovery development and commercialisation of prescription medicines for some of the worlds most serious diseases.

We prioritize patients and use data and an agile mindset to uncover solutions that enhance our ability to deliver science to the market.

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 youll gain hands-on experience applying data science and AI techniques across various R&D functions and therapy areas. Youll 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 2026
• Duration: 2 years
• Structure: Three individual eight-month placements
• Focus Areas: Machine learning AI and data science in drug discovery and development.
• Location: You will be based in Gothenburg throughout the 2-year duration. No international placements are offered.

What Youll 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.

Post-Programme 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: Bachelors or Masters 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.

Whats next

After submitting your application you may be asked to complete an online assessment (SHL). Shortlisted candidates will be invited to a full-day virtual assessment day.

Key Dates

• Advert Opens:
• Advert Closes:
• Assessment Center Days: Tue/Wed/Thurs Mar 24/25/26 2026 (no alternative dates will be offered)

Are you ready to bring your skills drive and curiosity to our projects Wed love to hear from you!

Find Out More

Are you curious about what its like to work at AstraZeneca Learn more here: more about the programme: to Gothenburg Here is all the information you need: Posted

Closing Date