Bei Daiichi Sankyo stehen wir vereint hinter einem einzigen Ziel: Das Leben auf der ganzen Welt durch innovative Medikamente zu verbessern. Mit aktiver Innovation seit 1899, Präsenz in mehr als 30 Ländern und über 19.000 Mitarbeitern entwickeln wir bahnbrechende Therapien in der Onkologie, für Herz-Kreislauf-Erkrankungen, seltene Krankheiten und Immunerkrankungen. Im Einklang mit unserer Vision 2030, "ein innovatives globales Gesundheitsunternehmen zu sein, das zur nachhaltigen Entwicklung der Gesellschaft beiträgt", gestalten wir eine gesündere, hoffnungsvollere Zukunft für Patienten, ihre Familien und die Gesellschaft.
The Position
Join our interdisciplinary team and contribute to impactful projects that drive pharmaceutical innovation. You'll work closely with scientists and engineers to support and accelerate pharmaceutical development and manufacturing activities through data-driven methods. Therefore we're looking for a
Working Student (m/f/d) Technology Innovation Strategy & Intelligence
Roles and Responsibilities
- Develop and maintain Python-based data engineering pipelines
- Support exploratory data analysis and machine learning model development
- Contribute to data visualization and dashboarding for scientific and operational insights
- Optionally support physics-based modeling projects (e.g. CFD simulations, molecular modeling, or mechanistic models)
- Collaborate across departments to understand data requirements and help solve complex scientific challenges
Education & Experience
- You are currently enrolled in a Master’s or advanced Bachelor’s program in Computer Science, Data Science, Engineering, Physics, Chemistry, Life Sciences, or a related field
- Solid programming skills in Python, including common libraries (e.g., pandas, NumPy, scikit-learn, matplotlib)
- First experience with data wrangling, data visualization, or modeling
- Familiarity with VS Code, Jupyter Notebooks, Git, and basic software development workflows
- Strong analytical thinking, a self-driven mindset, and a passion for science and technology
- Optional: Interest or experience in physics-based modeling, mechanistic simulation, computational fluid dynamics (CFD), or molecular modeling
