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RiSM Internship for students in Computer Science, Software Engineering, Data Science or Bioinformatics(m/w/x)
Consolidating digital applications into a unified platform for pharmaceutical development. Full-stack web development proficiency required. Support digital transformation initiatives.
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Anforderungen
- University student or recent graduate (within 12 months) in Computer Science, Software Engineering, Data Science, Bioinformatics, or related technical discipline
- Interest in applying software engineering and data pipelines to scientific and pharmaceutical development challenges
- Interest in using and sharing knowledge during internship
- Adaptability to modern working environment
- Strong full-stack web development proficiency
- Framework expertise (modern frontend/backend)
- API design proficiency
- Clean software architecture understanding
- Core data engineering experience
- Experience automating robust data pipelines
- Experience embedding analytical models into frontend systems
- Ability to translate complex scientific workflows into digital solutions
- Ability to translate business logic into digital solutions
- Ability to translate complex workflows into user-friendly digital solutions
- Familiarity with version control (Git)
- Familiarity with code auditing
- Experience writing clean, scalable, documented code
- Team-oriented personality
- Problem-solving personality
- Self-sufficient work habits
- Passion for multidisciplinary environments
- Excellent English proficiency
- Ability to communicate complex technical concepts to non-technical stakeholders
- For Non-EU/EFTA citizens: University certificate stating mandatory internship
- For Non-EU/EFTA citizens: Enrollment during entire internship duration
- The RiSM task
Aufgaben
- Support digital transformation in the Pharmaceutical & Solid State Development department
- Consolidate existing digital applications into a cohesive user interface
- Maintain and optimize the unified platform with critical upgrades and new features
- Design and build reliable data pipelines and secure backend integrations
- Ensure seamless, high-performance data flow across the central platform
- Audit, refactor, and restructure legacy codebase for enterprise-level standards
- Set up an AI-ready architecture for future integration with internal AI tools
- Collaborate with scientists and project owners to map complex workflows into digital requirements
- Translate scientific workflows into structured digital requirements
- Assume the role of a software and data engineer to unify fragmented legacy tools
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