Clinical Data Engineer Intern

About Debiopharm

We innovate together. We act, we grow. At Debiopharm, every step is guided by a purpose: to improve the lives of people affected by cancer and infectious diseases. As a privately-owned Swiss biopharmaceutical company, we are driven by science, but above all by the people behind every treatment – the patients and their families.

Through our unique 'development only' model, we advance promising therapies and transform them faster into treatments that reach those who need them most.

We are currently seeking a motivated and collaborative professional to join our Biostatistics and Data Management (R&D) department at our headquarters in Lausanne, Switzerland as a

Clinical Data Engineer (Internship)

Fixed-term contract over 12 months | Lausanne, Switzerland

Your Mission:

As an intern in Clinical Data Engineering, you will be a key contributor to our digital transformation, supporting the transition towards a data-driven and automated operating model. This role offers a unique opportunity to bring technical innovation while learning how modern data science is applied in a regulated GxP environment. You will help bridge the gap between IT Engineering and Clinical teams through proactive problem-solving and iterative prototyping.

Your Main Responsibilities:

• Strengthen digitalization: Contribute to the automation of protocol to CRF through rule-based and LLM-assisted document analysis.
• Develop data pipelines: Create pipelines for data ingestion, harmonization, and integration from various clinical sources.
• Metadata & Data Warehousing: Assist in the definition of metadata models and evaluation of solutions for the Clinical Data Warehouse (CDW).
• Support internationalization: Help develop automated mapping checks and template-based SDTM administration tools.
• Risk-based monitoring: Support the centralized monitoring working group with data extractions and development of AI-driven quality assurance scripts.

Your Profile:

• Education: Recently completed 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 a plus.
• Mindset: A curious, proactive problem-solver who enjoys questioning manual processes and thrives in agile workflows.

What we offer:

Through our Pied-à-l’Étrier program, you will gain insight into:

• Real-world clinical research data and regulatory-compliant 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 application process:

If your application is selected, you will be invited for interviews with Talent Acquisition and the hiring manager via Teams, followed by a panel interview and reference checks. Communication will be via Workable—please check your spam folder for emails from *@outbound.workable.com.

Please contact our HR department before submitting profiles. We cannot accept unsolicited applications from agencies or recruiters.