Internship: Digital & OE Support for Performance Excellence Delivery

Support the Performance Excellence Delivery team across Prepare, Diagnose, Design, and Implement phases:

Prepare Phase: Data Gathering, Cleaning & Analytics Support

Data Extraction & Integration: Support project onboarding by identifying, extracting, and consolidating data from multiple global/local systems (e.g., Hermes, s-LIMS, Snowflake, SAP).

Data Cleaning: Structure, clean, and validate raw datasets to establish reliable baselines.

Analytics: Perform data analysis to quantify key operational metrics (e.g., Lead Times (LT), cycle times, throughput, and sample/batch test volumes).

Diagnose & Design Phase: Digital Mapping & Use-Case Scoping Support

Process Mapping & Flowcharts: Assist in mapping current-state ("As-Is") operational & digital workflows through shopfloor observations and stakeholder interviews.

Gap Identification: Help analyze process workflow analysis to uncover bottlenecks, waste, and performance gaps.

Digital Use-Cases: Collaborate with team members to brainstorm and scope practical digital and automation use cases that directly support identified impact levers.

Implementation Phase: Use-Case Translation, Digital Solutions & Data Setup

Requirements Translation: Act as a bridge between business stakeholders and developer teams by translating user pain points and User Requirement Specifications (URS) into clear technical input for digital tools.

Lightweight Digital Solutions & Tools: Support the building and testing of lightweight digital solutions or practical digital mockups (e.g., utilizing low-code tools like AppSheets, or exploring agile solution building / "vibe coding" approaches for mockups or solutions).

Tool Deployment: Provide hands-on assistance in rolling out new digital tools and dashboards to end-users.

Data Product & Pipeline Setup: Assist in setting up and structuring data outputs (e.g., data products) and establishing connections between underlying data sources and digital tools.

User Training: Support end-users with onboarding and training to ensure smooth adoption and long-term project success.

Within Pharma Technical (PT), the Performance Excellence Delivery (PED) team drives operational performance improvements across various commercial manufacturing and operations departments, including Quality Control (QC), Drug Substance (DS) & Drug Product (DP) Manufacturing, Supply Chain, and Development.

The intern will work at the intersection of Operational Excellence (OE) and Digital/AI Capabilities, alongside experienced performance excellence leads on dedicated operational improvement initiatives. The team provides direct, hands-on support and exposure to core pharmaceutical processes, practical data analytics, digital solutions, and low-code tools.

Roche has more than 100,000 employees across the globe dedicated to advancing science and ensuring access to healthcare. The company describes its culture as encouraging personal expression, open dialogue, and genuine connections, and says it is an Equal Opportunity Employer.

• Currently enrolled in or a recent graduate of a Bachelor's or Master's program in Data/Computer Science, Engineering, Biotechnology, Life Sciences, or a related field.

• Basic hands-on coding experience (e.g., Python or JavaScript) and comfort using tools like VS Code and GitHub, alongside AI-assisted development (e.g., Claude Code) or low-code platforms (e.g., AppSheet) to 'vibe code' and rapidly prototype data visualizations, simple digital tools, and functional operational mockups for tool developers.

• Passion for learning Lean principles, process mapping, and operational problem-solving within the pharmaceutical industry.

• Comfortable engaging with stakeholders across functions (from shop floor operators to IT specialists) and translating business pain points into actionable digital ideas.

• Exceptional communication skills with the ability to build alignment and serve as an effective bridge between operational business teams and IT/digital functions.

• Fluent in English; German proficiency is an advantage.

• Willingness to travel in DACH region.

• Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.

• The earliest possible starting date is 1st of February 2027.

• Part-time employment is not possible.

• Duration: 6 months, full-time (40 hours/week).

• Location: Basel.

• The position is not suitable for writing a Bachelor/Master thesis.