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AI & Data Science Internship Program – AstraZeneca Barcelona

AstraZeneca

Spain - Barcelona

Data & MLOps

Posted 2 hours ago

internunknown

Verified open on Oct 16, 2026 · posted today

Job Description

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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Career context

This role is classified as Data & MLOps.

$200k - $308k is the middle 50% of disclosed salaries, measured from 209 live Data & MLOps postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.

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