Data Engineering Intern
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026.
Teoxane Laboratories were established in Geneva, Switzerland, in 2003. They are specialized in the design and manufacturing of hyaluronic acid-based dermal fillers and dermocosmetics. Teoxane strength is to offer a global patient care. Using its products, practitioners are able to fill all kinds of wrinkles, from the finest to the deepest, to restore youthful volume to the face, and to treat the neck and décolleté, with natural results. The strength of Teoxane is also its human size and independence. Teoxane has a total freedom of thoughts, action and innovation which makes the company unique.
In the frame of the growth of our business, we are looking for a:
Data Engineering Intern
Contract: 6 months (start date February 2027)
As part of the Data Management & Analytics department, this internship aims to automate the conversion of raw clinical trial data into the CDISC SDTM standard, which feeds our clinical Data Lake on Microsoft Fabric. Our studies run with different vendors, so each one is currently mapped manually, one at a time. The intern will build a specification-driven pipeline that performs this conversion automatically.
Main activities
- Build ingestion pipelines turning raw clinical data extracts into a consistent structure,
- Design a machine-readable specification mapping raw variables to the CDISC-SDTM standard,
- Develop an assisted extraction component using document parsing and language models,
- Implement the transformation pipeline with open-source CDISC tooling (R and Python),
- Validate the output against existing reference datasets and deploy it to Microsoft Fabric,
- Document the architecture and procedures to ensure project continuity.
Your profile
- Ongoing Master’s degree in Data Engineering, Computer Science, Bioinformatics or a related field,
- Strong Python skills; experience building data pipelines (R is an asset),
- Interest in document parsing and language models for structured extraction,
- Familiarity with SQL/ Azure / Microsoft Fabric / OneLake (or similar cloud data platforms),
- Curious, rigorous, autonomous; strong analytical and problem-solving abilities,
- Ability to work independently and collaboratively in a cross-functional environment,
- Fluent in French and English.
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TEOXANE promotes equal opportunity and places at the heart of its human resources management policy the fight against all forms of discrimination based on age, gender, origin, disability, or any other personal characteristic.