Working student (m/w/d) Tech Intelligence

With over 120 years of experience and approximately 19,000 employees in more than 30 countries/regions, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world.
In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life.
In Oncology, we are driving innovation in solid tumours and blood cancers, founded on breakthrough science from our own labs in Japan. We aspire to create better tomorrows for people living with cancer and their loved ones.
Our European headquarters are in Munich, Germany, and we have affiliates in 15 European countries and Canada.
For Daiichi Sankyo Europe in Pfaffenhofen we are seeking qualified candidates to fill the position of

Working Student (m/w/d) Tech Intelligence

Your Role

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.

• 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

• You are currently enrolled in a Master's or 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

• A hands-on role in real-world pharmaceutical R&D and manufacturing projects
• Insight into digital transformation and cutting-edge modeling techniques
• Flexible working hours and hybrid work possibilities (Pfaffenhofen and/or Munich)
• Supportive team culture, mentoring, and opportunities for long-term collaboration

TITL1_DE

Compétences idéales

• Git
• Numpy
• Pandas
• Python
• Scikit-learn

• Pfaffenhofen an der Ilm, Bavaria, Germany

Expérience professionnelle

• Data Engineer
• Fullstack
• Machine Learning

Compétences linguistiques

• English