The Position
Our Global Internship Programme in Innovation & Sustainability (#IP2TIS) offers a unique opportunity for passionate individuals to gain hands‑on experience in the pharmaceutical industry while making a positive impact on the world.
The Opportunity
As an intern, you will contribute to the development of an AI‑powered diagnostic engine designed to automate root‑cause analysis in complex microservice environments. The project focuses on replacing repetitive manual log analysis with an intelligent system that can ingest, normalize, and analyze logs across the Px13 product line to identify failing components and accelerate bug assignment. Within your first 3 months, you are expected to help deliver a log parsing prototype, an automated root‑cause analysis model, a proof‑of‑concept bug drafting integration, a plug‑in architecture design, and an evaluation report comparing manual and AI‑assisted diagnosis.
* Design and build a prototype module that ingests and normalizes logs from more than 20 microservices into a unified, queryable format
* Develop and train an AI model based on Roche‑specific error patterns to identify failing components and suggest likely root causes
* Create a proof‑of‑concept integration with Azure DevOps or Retina to automatically generate structured bug tickets with supporting log evidence
* Define and document a plug‑in API or interface specification that enables other Roche teams to connect their own log schemas
* Analyze error flows across distributed microservice systems to improve diagnostic accuracy across service boundaries
* Benchmark manual versus AI‑assisted diagnosis and evaluate the potential reduction in mean time to repair
* Contribute to a scalable architecture that supports cross‑product learning and diagnostic support beyond the initial Px13 pilot
* Work closely with stakeholders to translate technical findings into practical improvements for software stabilization and release workflows
Who You Are
You are enrolled or have completed your Master’s or PhD studies at a university, preferably in the field of Computer Science, Digital Sciences, or Artificial Intelligence within the last 12 months and are interested in applying your knowledge in a modern working environment as part of an internship of at least 3 months.
* Advanced in Python and experienced with tools such as Elasticsearch, Logstash, and Kibana
* Able to build and document RESTful APIs or interface specifications, for example using Swagger or OpenAPI
* Knowledgeable in microservices architecture and distributed systems, such as Docker, Kubernetes, gRPC, or message queues
* Familiar with cloud platforms; certifications such as Microsoft Certified: Azure Developer Associate or AWS Certified Developer are an advantage
* A structured, proactive, and collaborative communicator with a strong sense of ownership and fluent English skills
Additional information
The internship is expected to start between 1 and 16 July 2026 and will last at least 3 months.
Roche is an Equal Opportunity Employer. #J-18808-Ljbffr