T2605 - Clinical Data Engineer (12 months Internship)

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

Fixed-Term Contract of 12 months | Lausanne, Switzerland

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.

• 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.

• 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.

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.