# T2605 - Clinical Data Engineer (12 months Internship)

> Debiopharm · Lausanne, Switzerland · Temporary · Posted 2026-05-04

**Workplace:** on_site

**Department:** Biostats & Data Management

## Description

### _Together, We Innovate. We Impact, We Grow_

_**At Debiopharm, every step we take is guided by one purpose: improving the lives of people affected by cancer and infectious diseases. As a privately-owned Swiss biopharmaceutical company, we’re driven by science, but above all, by the people behind every treatment — the patients and their families.**_

_**Through our unique “development only” model, we bring forward promising therapies and transform them into treatments that can reach those who need them most, faster.**_

We are currently looking for a motivated and collaborative professional to join our Biostatistics and Data Management (R&D) Department based at our Headquarters in Lausanne, Switzerland as 

### Clinical Data Engineer (Internship) 

Fixed-Term Contract of 12 months | Lausanne, Switzerland 

### Your Mission:  

As a Clinical Data Engineer Intern, you will be a key contributor to our digital transformation, supporting the transition toward a data-driven and automated operating model. This role offers a unique opportunity to provide technical innovation while learning to apply modern data science within a regulated GxP environment. You will help bridge the gap between IT engineering and clinical teams through proactive problem-solving and iterative prototyping. 

### Your Key Responsibilities  

-   Strengthen Digitalization: Contribute to Protocol-to-CRF automation using rule-based and LLM-assisted document parsing.   

-   Data Pipeline Development: Build pipelines for data ingestion, harmonization, and integration across various clinical sources.   

-   Metadata & Data Warehousing: Assist in defining metadata models and evaluating solutions for the Clinical Data Warehouse (CDW).   

-   Internalization Support: Help develop automated mapping checks and template-driven SDTM management tools.   

-   Risk-Based Oversight: Assist the Centralized Monitoring Working Group with data extractions and the development of AI-assisted quality monitoring scripts.

## Requirements

### Your Profile 

-   Education: Recently completed a BSc, MSc, or PhD in Data Science, Bioinformatics, Computer Science, or a related quantitative discipline.   

-   Technical Expertise: Familiarity with data engineering concepts (pipelines/ingestion) and a good understanding of database structures.   

-   Programming: Proficiency in at least one language such as Python, SQL, R, or SAS.   

-   Preferred Tools: Experience with Git, Jupyter, or Posit/RStudio is considered a plus.   

-   Mindset: A curious, proactive problem-solver who enjoys challenging manual processes and thrives in agile workflows.

## Benefits

### What we Offer: 

Through our Pied-à-l’Étrier program, you will gain exposure to:  

-   Real-world clinical research data and regulatory-grade structures.  

-   Practical applications of AI and LLMs in a professional, controlled environment.  

-   Cross-functional collaboration with Clinical Development and IT teams.  

-   Modern data engineering tools and prototype-driven workflows.  

What to Expect in the Recruitment Process: 

If your application is selected, you’ll be invited to interviews with Talent Acquisition and the Hiring Manager via Teams, followed by a panel interview and reference checks. Communication is handled via Workable—check your spam folder for emails from \*@outbound.workable.com. 

Please contact our HR Department prior to submitting any profiles. We cannot accept unsolicited applications from agencies or recruiters.

## Apply

[Apply at Debiopharm](https://apply.workable.com/debiopharm/j/80CD8D2A37/apply)

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