Roche Internship 2026 in UK |AI & Digitalisation Intern Role | Biology Candidates, Apply Now
Roche Internship 2026 lets students use programming and AI to improve how pharmaceutical R&D teams work. This Roche Internship focuses on building Agentic AI solutions that reduce repetitive tasks, modernise data and support better business processes. The 12-month, part-time opportunity is designed to fit alongside ongoing studies.
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Position: AI & Digitalisation Intern/Graduate PSD
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Location: Welwyn, Hertfordshire, United Kingdom
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Team: Pharma Development Strategy and Delivery (PSD)
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Category: Vocational & Development Programs
About The Company
Roche is a global healthcare company working to prevent, stop and cure diseases while improving access to healthcare. It promotes an inclusive culture where every voice matters.
The Pharma Development Strategy and Delivery team translates Roche’s strategies into Pharma Development priorities and supports delivery of molecule and molecule-enabling programmes. Its global R&D functions also improve internal productivity, working practices and cross-functional collaboration.
Roche Internship: Role Overview
In this Roche AI internship, the intern will connect technical data engineering with business process analysis, helping identify where automation and Agentic AI can deliver value.
Working with business experts, IT and the PSD AI Squad, you will contribute to scalable solutions, data modernisation, testing and documentation. Success will be measured through contributions to AI Squad work packages, including progressing use cases into production.
Key Responsibilities
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Gather requirements and analyse processes with PSD functions to identify opportunities for automation and AI.
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Assess development and maintenance effort, business value and scalability.
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Build and enable Agentic AI solutions with business experts and IT.
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Follow Roche’s Responsible AI standards, including Human-in-the-Loop design, ethical AI and approved technology use.
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Apply data privacy, confidentiality and secure credential-handling practices, with awareness of GxP requirements.
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Help migrate legacy data into AI-ready architectures.
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Maintain documentation and support solution testing.
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Collaborate with the PSD AI Squad and global teams.
Education and Technical Qualifications
Applicants should be pursuing a degree or further degree in a relevant field, including:
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Computer Science.
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Statistics or Mathematics.
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Business or Economics.
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A related technical discipline.
Technical requirements include:
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Working proficiency in Python, JavaScript or Apps Script.
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Ability to use AI coding tools to generate and review code.
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Knowledge of SQL and API/MCP connections to data lakes, such as Snowflake or AWS.
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General awareness of pharmaceutical R&D operations.
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Familiarity with, or willingness to learn, Responsible AI principles.
Skills and Working Requirements
Roche seeks a proactive problem-solver who understands the business impact of data and automation. Candidates should be comfortable with ambiguity, committed to learning and able to explain technical concepts clearly.
The role also requires:
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Excellent English.
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Schedule flexibility for collaboration across time zones, primarily Pacific Standard Time (PST).
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Availability for occasional travel to Roche sites in the US and Europe.
Learning and Collaboration
The placement offers practical exposure to internal AI development within global pharmaceutical R&D teams. Students can build experience in requirements gathering, data engineering, responsible technology use and translating business needs into working solutions.
The 30–50% FTE arrangement is intended to support participation alongside studies.
How to Apply
Apply via the link below and follow Roche’s application instructions for AI & Digitalisation Intern/Graduate PSD. Highlight your ongoing studies, programming experience, SQL and data integration skills, and examples of automation or AI projects. Explain how you approach business problems, review AI-generated code and communicate technical ideas. Consider your availability for part-time work, PST-focused collaboration and occasional travel. No closing date is posted, so apply early.
For students interested in applying AI to real organisational challenges, this Roche Internship offers an opportunity to combine software development with process improvement and contribute to responsible Agentic AI adoption in pharmaceutical R&D.
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