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Roche

Global pharmaceuticals and diagnostics company

AI & Digitalisation Intern

AI Application EngineeringPosted on Nov 12
InternshipWelwyn, UKNo salary listed

About the Job

Requirements

  • Be pursuing a degree or further degree in Computer Science, Statistics, Mathematics, Business, Economics, Physical Sciences such as Biology, Chemistry, or Physics, or a related technical field.
  • Have an excellent command of written and spoken English.
  • Be able to support a flexible schedule that periodically accommodates collaboration across multiple time zones, primarily Pacific Standard Time.
  • Be able to travel occasionally, up to one week, one to two times per year, to Roche sites in the United States and Europe.
  • Have general knowledge of pharmaceutical research and development business operations.
  • Have familiarity with, or strong willingness to learn, responsible artificial intelligence principles including Human-in-the-Loop design, ethical AI, and data privacy, with an appreciation of their importance in a regulated pharmaceutical research and development setting.
  • Have working proficiency in at least one language commonly used in data or automation work, such as Python, JavaScript, or Apps Script, and proficiency using an AI coding harness to generate and review code, gained through coursework or personal or academic projects.
  • Be able to query data using SQL and establish API or MCP connections with secure data products in centralized data lakes such as Snowflake or AWS using service accounts.
  • Have prior experience setting up artificial intelligence retrieval-augmented generation systems or agent-driven workflows that connect to diverse data sources and are scalable with low AI latency.
  • Be able to process and organize unstructured or heterogeneous data sources for effective or optimized AI use.
  • Have hands-on experience with large language model integration, prompt engineering, and semantic text analysis.
  • Be comfortable working with varied structured and unstructured data formats, including basic experience with spreadsheets, databases such as Airtable or similar, or APIs.
  • Have awareness of, or interest in, low-code/no-code artificial intelligence development platforms.
  • Have basic familiarity with version control such as Git and structured documentation practices.
  • Have a basic understanding of data anonymization, access controls, and secure data handling, and awareness of or willingness to learn good practices for secrets and credential management and confidentiality in a regulated pharmaceutical research and development environment.
  • Already hold valid authorization to work in the United Kingdom; visa sponsorship is not available.

Responsibilities

  • Interview and work with end users in Pharma Development Strategy and Delivery, analyze historical information and data, and scope and propose artificial intelligence tools to streamline daily tasks.
  • Gather input from organizational functions to identify recurring operational delays and pain points where automation and artificial intelligence may help; assess solution build and maintenance complexity; analyze, map, and define requirements for use cases; and work with the functions to evaluate solution value and scalability before building beyond proof of concept.
  • Combine technical knowledge of agentic artificial intelligence, internal systems, and data architectures with business and IT expertise to build and enable scalable agentic solutions.
  • Build and implement solutions in line with defined artificial intelligence standards, including Human-in-the-Loop design, ethical AI principles, and approved technologies; maintain awareness of data privacy and GxP requirements and ensure solutions are compliant, auditable, and safe to scale.
  • Follow guidelines for secrets and credential management and confidentiality when building and testing solutions, and escalate data security or privacy concerns for review.
  • Support data standardization and migration from legacy systems and tools to modern, AI-ready architectures for scalability and performance.
  • Maintain documentation with sufficient technical development and testing detail for others to use and continue the work.
  • Participate in global digitalization initiatives with the AI Squad, organizational leaders, and IT professionals; provide transparency on progress and risks to the Squad and leadership.
  • Develop and maintain awareness of the organization and its key drivers, and work within existing procedures to drive progress.
  • Contribute to AI Squad work packages with concrete outcomes, including moving two use cases into production, and support testing and documentation for use cases.

About the Company

Roche

Global pharmaceuticals and diagnostics company

Roche is a global leader in pharmaceuticals and diagnostics. It develops medicines and diagnostic tools that help detect, monitor, and treat diseases, using research and biotechnology to drive new therapies and tests. Roche combines drug development with in-house diagnostic products to support personalized medicine, where treatments are tailored to individual patients based on test results. Its approach differs from many peers by integrating drug discovery with diagnostic capabilities and by expanding its research through strategic acquisitions (like Genentech) to strengthen its biotechnology and R&D capabilities. The company’s goal is to improve patient outcomes and healthcare worldwide by delivering reliable medicines, accurate diagnostic tests, and data-driven care.

Company size
1-10
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1896

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