Data & AI Engineer Intern
About AstraZeneca
AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery,developmentand commercialization of prescription medicines, primarily for the treatment of cardiovascular,renaland metabolic, respiratory and immunological,oncologicaland rare diseases.
Our Barcelona hub has been created to achieve the next wave of breakthroughs that help us dowhat’snever been done before, as we expand our global footprint. Harnessing data and using the best technology solutions available allow us to positivelyimpactscience.
In line with our firm commitment to training and developing exceptional talent, this person will joinone of the platforms within theData, Analytics & AIdepartment(R&D ITorg)to learn and grow through active collaboration withtheteam.The mission of this platform isto accelerate scientific innovation by providingstreamlined access to integrated data through advanced virtualization,and secure, compliant data management solutionsleveragingstate-of-the-artAI technology.
Conditions:
Duration:6-9 months
Hours per day: Full time
Location: Barcelona
Focus area: Data & AI Engineering
Training through practical experience:
This internship is designed to provide a supportive learning environment, allowing the intern to gain practical experience indata & AI Engineering tasks. The focus will be on learning and adapting to the role, with active involvement in supporting various engineering and operational activities related todata & AI initiatives.
Tasks will include but are not limited to:
Assistingwith pipeline automation and CI/CD processes
Supporting data wrangling anddataanalysis tasks
Basic Python coding
Collaborating on cloud infrastructure deployment projects(AWS)
Exploring andleveragingagentic and other AI technologies for their federated usage by different domains
Applyingsafe, scalable deployment of intelligent AI agents across R&D IT platforms
Adhering to Agile ceremonies and processes
Requirements:
Currently enrolled as a master's student at aSpanishaccredited university or educational institution
STEM (Science, Technology, Engineering, and Mathematics) or related degrees preferred
Basic understanding ofdata & AI concepts
Basic Python knowledge
Basic software versioningknowledge(git)
Basic cloud infrastructure knowledge (AWS)
Excellentcommunication and teamwork skills
Ability to adapt to a fast-paced environment
Interest or knowledge in the pharma industry would be a plus
#EarlyTalent
AstraZeneca is a company that promotes equal opportunities. AstraZeneca will consider all eligible persons, without discrimination based on disability, sex or sexual orientation, pregnancy or maternity/paternity period, race or origin (national or ethnic), age, religion or belief, identity of gender, marital or de facto partnership status and/or any other characteristic protected by law.
Date Posted
16-ene-2026Closing Date
22-ene-2026AstraZeneca 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.
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 authorisation and employment eligibility verification requirements.
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