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The key details from the original listing.
Description supplied by the original job listing.
About AstraZeneca:
AstraZeneca Global Hub is an innovation-driven global biopharmaceutical company focused on the discovery, development, and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological, and rare diseases.
Internship Opportunity:
In line with our commitment to training and developing exceptional talent, we are delighted to offer multiple internship opportunities in AI and Data roles across diverse teams within our company. This is a unique chance to learn, grow, and contribute meaningfully to impactful projects in a supportive and innovative environment.
Conditions:
- Duration: 6 to 12 months
- Hours per day: full time
- Location: Barcelona
- Focus areas:
Machine Learning and Data Science: Data Scientist; Analytics and Insights
AI Engineering and AI Transformation: AI Engineering; AI Transformation Program
Data Engineering and Platforms: Data Engineering; Data & AI Engineering; Knowledge Graph DevOps
Operational Analytics and Digital Strategy: Operational Data Strategy; Marketing Automation (MarTech); Commercial Excellence (Digital Support)
Bioinformatics and OMICs: Bioinformatics; AI in OMICs
Real World Data Science and HEOR Analytics: Health Economics and Outcomes Research (HEOR Analytics)
Clinical Data Management (Data-focused): Clinical Data Management; Clinical Data Leadership; Global Study Operations (data processes)
What You'll Gain:
Hands-on experience in a leading biopharmaceutical company.
Mentorship from industry experts.
Opportunities to work on exciting data-driven projects and initiatives.
Networking opportunities with professionals across various departments.
Potential pathways for career advancement within AstraZeneca.
Tasks:
Support various AI and Data projects and tasks within your assigned team.
Assist in organizing AI- and data-focused training events and workshops.
Collaborate with team members on machine learning, data analysis, and bioinformatics activities.
Contribute to the preparation of AI- and data-related reports and presentations.
Participate in team meetings, sharing insights and feedback on AI, data innovations, and strategies.
Requirements:
Currently pursuing a Master’s degree in Computer Science, Data Science, Bioinformatics, or a related field.
Academic background in Computer Science, Data Science, Statistics, Mathematics, Engineering, or similar disciplines.
Strong interest in artificial intelligence, machine learning, data science, and biopharmaceutical research.
Proactive and eager to learn.
AstraZeneca is an Equal Opportunity Employer:
We promote diversity and inclusion and consider all eligible candidates without discrimination based on disability, sex, sexual orientation, pregnancy, maternity/paternity period, race, national or ethnic origin, age, religion, gender identity, marital or partnership status, or any other characteristic protected by law.
Date Posted
16-oct-2026
Closing Date
29-oct-2026
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.
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