T2605 - Clinical Data Engineer (12 months Internship)

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.   

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. 

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.