Data Scientist Intern

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Job Description: Automation Engineering Intern - Tomato Pipeline

Department: Roche Pharma Product Development China (PDD ADS)

Location: Shanghai, China (On-site)

Duration: 3 Months

About the Project

The "Tomato" automation platform is a cutting-edge, multi-engine translation and AI-assisted review pipeline designed to drastically reduce the time and resource costs of regulatory eSub package translations for China’s health authority. By replacing legacy systems and fully in-sourcing the workflow, the platform aims to cut translation and review cycles from 6 weeks down to 1 week.

As an intern on this team, you will focus on resolving key remaining technical bottlenecks, bridging multiple translation engines, and optimizing the final delivery formats to ensure strict eCTD compliance.

Key Responsibilities

• Unified Translation CLI: Develop a central, user-friendly command-line interface (CLI) to unify two existing Python script suites. This will allow users to seamlessly route requests to either the Rosetrans or Deeptrans engine APIs without needing to locate or manage separate scripts.
• DRG Translation Workflow & Middle-Step Engineering: Revolutionize the Data Review Guide (DRG) translation process by migrating away from traditional AI-to-Word document workflows.
• eCTD PDF Compliance Automation: Ensure the automated DRG PDF generator strictly adheres to health authority guidelines, enforcing programmatically.
• Define.xml Generator Integration: Eliminate the need for users to manually switch to P21 for XML generation by integrating an existing define.xml R package generator directly into the automated Tomato workflow. You will test the tool's compatibility with Chinese translation documents, fork and optimize the R package to align with current specifications, and embed it into the platform's Docker image on the Apollo compute platform.
• Dataset Translation Modernization: Lead the initiative to replace legacy "ocean tools" dependencies for dataset translations, integrating them directly into the modernized pipeline.

Required Skills & Qualifications

• Education: Currently enrolled in or recently graduated (within 12 months) from a Bachelor’s, Master’s, or PhD program in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
• Programming Expertise: Strong proficiency in Python or R, with a distinct preference for candidates experienced in Python package development.
• DevOps & Infrastructure: Essential knowledge of Git (branching, merging, conflict resolution) and experience with Docker image building and deployment.
• Automation: Familiarity with enabling automated workflows via webhooks or chatbots (e.g., GChat space).
• Communication: Proficient in English for reading complex technical specifications, regulatory requirements, and writing clear project documentation.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.