The Position
Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad?
At the heart of this internship, you will collaborate with our Simulation Teams to architect the future of System & Solution Design. As a key contributor, you will help build and validate 'Digital Twins' for our next-generation core lab solutions. Your work won't just be theoretical, it will directly shape the physical architecture and the logical brain of cutting-edge, end-to-end laboratory systems.
Your Key Responsibilities
Model & Maintain: Create and maintain complex scenarios for software and hardware simulations
Execute & Analyze: Run simulations and perform deep-dive analyses of the results to identify system behaviors
Evolutionary Support: Provide status updates and issue notifications to support the continuous evolution of our simulators
Collaborate: Work alongside multidisciplinary teams to improve departmental operations and project delivery
What You Will Learn & Develop
Advanced Simulation: Gain hands-on experience with Discrete Event Simulation (DES) using tools like Simio or AnyLogic
Systems Engineering: Understand the big picture of how hardware, software, and logistics integrate into massive diagnostic solutions
Algorithmic Thinking: Design and implement efficient heuristics for real-time decision-making in robotics
Data Science: Use Python to transform raw simulation outputs into powerful, data-driven visual stories
Software Development: Level up your OOP (C# or Java) skills by extending simulation logic
Global Collaboration: Experience working across borders with engineers and product owners in an international environment
Who You Are
You are a methodical, responsible team player who is eager to take ownership of technical challenges. xpzdshu
Education: Mechanical Engineering, SW Engineering, Biomedical Engineering, Mathematics, Physics, or Industrial Engineering
Programming: Solid foundation in Object-Oriented Programming (C# or Java)
Data Tools: Knowledge of SQL, Python, and Pandas for data management
Simulation: Familiarity with Discrete Event Simulations and statistical modeling
Communication: Fluent in English; able to present complex data with clarity
Mindset: A strong willingness to learn and a proactive approach to problem-solving
Roche is an Equal Opportunity Employer.
#J-18808-Ljbffr