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 were 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 ourBiostatistics and Data Management(R&D)Departmentbased at our Headquarters in Lausanne Switzerland as

Clinical Data Engineer (Internship)

Fixed-Term Contractof 12 months Lausanne Switzerland

Your Mission:

As aClinical 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 regulatedGxPenvironment. You will help bridge the gap between IT engineering and clinical teams through proactive problem-solving and iterative prototyping.

YourKeyResponsibilities

• 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.

YourProfile

• 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:Proficiencyin at least one language such as Python SQL R or SAS.

• Preferred Tools:Experience with GitJupyter 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 ourPied-à-lÉtrierprogram 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 selectedyoullbe invited to interviews with Talent Acquisition and the Hiring Manager via Teams followed by apanelinterview and reference checks. Communication is handled via Workablecheck your spam folder for emails from*@.

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

Required Experience:

Intern