Your Skills

• Master’s or PhD in Biomedical Engineering or equivalent experience in Medical Technology, Computer Science, Physics, Mathematics or a related field.
• Strong interest in research-driven innovation and long-term scientific leadership.
• Ability to think systemically and understand the “big picture” of complex medical-technical systems.
• Experience or solid knowledge in at least two of the following:
  –Artificial Intelligence / Machine Learning
  –Simulation (e.g., structural mechanics, CFD, discrete event simulation)
  –Statistical Shape Modeling / Geometric Modeling
• Strong analytical skills and the ability to independently drive research questions.
• Solid programming skills (Python required; C++, R, or similar languages are a plus)
• Ability to think systemically and understand the “big picture” of complex medical-technical systems.
• Strong analytical skills and the ability to independently drive research questions.
• Experience with numerical simulation tools (e.g., ANSYS) is a strong advantage.
• Clear communication skills and the ability to translate complex concepts into interdisciplinary environments.
• A proactive, self-driven mindset with the ambition to take on increasing scientific and strategic responsibility.

Your Tasks

In this role, you will act as a scientific all-rounder with a broad methodological understanding and growing responsibility
within the biomedical domain. You will work across topics and engage with a wide range of interdisciplinary challenges.
Your responsibilities include:

• Bring your holistic understanding of medical techno logies to actively contribute to our projects in the fields of medical AI, (numerical) simulation and statistical shape modeling.
• Contributing to the conceptualization, analysis and further development of AI-based medical applications.
• Developing, analyzing and evaluating new methodo logical approaches for modeling medical systems and processes.
• Working with statistical shape models to investigate anatomical variability and patient-specific geometries.
• Supporting the development and evaluation of medical simulation and analysis environments.
• Analyzing medical data (imaging data, process data, statistical evaluations) and deriving well-founded conclusions.
• Close interdisciplinary collaboration with experts from medicine, engineering and research.
• Documenting research results and contributing to internal reports, scientific publications and project proposals.
• Gradually assuming responsibility for coordinating research activities and mentoring junior team members.

Your Salary

Competitive Salary