Internship: Digital

The Opportunity

• 1. 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).
• 2. 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.
• 3. 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.

Who You Are

• Academic Background: 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.
• Digital & Data Knowledge: Candidates should have basic hands‑on coding experience (e.g., Python or JavaScript) and be comfortable 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.
• Interest in Operational Excellence: Passionate about learning Lean principles, process mapping, and operational problem‑solving within the pharmaceutical industry.
• Hands‑On & Pragmatic Approach: Comfortable engaging with stakeholders across functions (from shop floor operators to IT specialists) and translating business pain points into actionable digital ideas.
• Communication & Collaboration: Exceptional communication skills with the ability to build alignment and serve as an effective bridge between operational business teams and IT/digital functions.
• Languages: Fluent in English (German proficiency is an advantage).
• WIllingness to travel in DACH region

What We Offer

Direct mentorship from experienced Operational Excellence and Digital leads in Pharma Technical. A collaborative environment to build long‑term capabilities in structured, data‑driven methodologies and business process optimization. Exposure to cross‑functional operations spanning Quality, Manufacturing, Supply Chain, and Development. We’re a fast‑growing, close‑knit team that loves tackling complex problems, challenging the status quo, and always has each other’s back.

Additional Information

• 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 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.

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