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Clinical Data Engineer (Internship)(m/w/x)
Automating clinical trial data capture using rule-based and LLM document parsing. Data engineering concepts and Python, SQL, R, or SAS proficiency required. Exposure to regulatory-grade structures and practical AI/LLM applications.
Requirements
- BSc, MSc, or PhD in Data Science, Bioinformatics, Computer Science, or related quantitative discipline
- Familiarity with data engineering concepts and database structures
- Proficiency in Python, SQL, R, or SAS
- Experience with Git, Jupyter, or Posit/RStudio (plus)
- Curiosity and proactivity
- Problem-solving skills
- Enjoyment of challenging manual processes
- Thriving in agile workflows
Tasks
- Contribute to Protocol-to-CRF automation
- Use rule-based and LLM-assisted document parsing
- Build data ingestion pipelines
- Harmonize and integrate clinical data
- Define metadata models
- Evaluate solutions for Clinical Data Warehouse
- Develop automated mapping checks
- Create template-driven SDTM management tools
- Assist with data extractions
- Develop AI-assisted quality monitoring scripts
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- R
- SAS
- Git
- Jupyter
- Posit/RStudio
Benefits
Other Benefits
- 12-month fixed-term contract
- Exposure to clinical research data
- Exposure to regulatory-grade structures
- Practical AI/LLM applications
- Prototype-driven workflows
Startup Environment
- Cross-functional collaboration
Modern Equipment
- Modern data engineering tools
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Clinical Data Engineer (Internship)(m/w/x)
Automating clinical trial data capture using rule-based and LLM document parsing. Data engineering concepts and Python, SQL, R, or SAS proficiency required. Exposure to regulatory-grade structures and practical AI/LLM applications.
Requirements
- BSc, MSc, or PhD in Data Science, Bioinformatics, Computer Science, or related quantitative discipline
- Familiarity with data engineering concepts and database structures
- Proficiency in Python, SQL, R, or SAS
- Experience with Git, Jupyter, or Posit/RStudio (plus)
- Curiosity and proactivity
- Problem-solving skills
- Enjoyment of challenging manual processes
- Thriving in agile workflows
Tasks
- Contribute to Protocol-to-CRF automation
- Use rule-based and LLM-assisted document parsing
- Build data ingestion pipelines
- Harmonize and integrate clinical data
- Define metadata models
- Evaluate solutions for Clinical Data Warehouse
- Develop automated mapping checks
- Create template-driven SDTM management tools
- Assist with data extractions
- Develop AI-assisted quality monitoring scripts
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- R
- SAS
- Git
- Jupyter
- Posit/RStudio
Benefits
Other Benefits
- 12-month fixed-term contract
- Exposure to clinical research data
- Exposure to regulatory-grade structures
- Practical AI/LLM applications
- Prototype-driven workflows
Startup Environment
- Cross-functional collaboration
Modern Equipment
- Modern data engineering tools
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Debiopharm
Industry
Pharmaceuticals
Description
Debiopharm is a privately-owned Swiss biopharmaceutical company committed to research in oncology and infectious diseases to improve patient outcomes and quality of life.
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