
Ebenbuild is a deep tech health tech company based in Munich, Germany, specializing in personalized health intelligence for lung diseases through advanced computational models. Their core technology is a digital twin platform that creates personalized, predictive lung simulations based on physics, physiology, and biochemistry to improve healthcare outcomes. Ebenbuild's platform serves both clinical and industrial users by enabling precise decision-making in hospitals for treatment optimization and supporting drug development with in silico trials that predict drug delivery success to the lungs. The company focuses on maximizing patient benefit by bridging healthcare and life sciences, with applications in clinical decision support and in silico trials. Ebenbuild has gained traction through collaborations with hospitals and research institutions, participation in regulatory discussions, and recognition in biotech and AI startup landscapes. Their business model is primarily SaaS and subscription-based, targeting healthcare providers, biotech, pharma, and medtech companies. The team includes founders and experts in biomedical engineering, AI, and software development, with notable advisors from the medical technology field.

Ebenbuild is a deep tech health tech company based in Munich, Germany, specializing in personalized health intelligence for lung diseases through advanced computational models. Their core technology is a digital twin platform that creates personalized, predictive lung simulations based on physics, physiology, and biochemistry to improve healthcare outcomes. Ebenbuild's platform serves both clinical and industrial users by enabling precise decision-making in hospitals for treatment optimization and supporting drug development with in silico trials that predict drug delivery success to the lungs. The company focuses on maximizing patient benefit by bridging healthcare and life sciences, with applications in clinical decision support and in silico trials. Ebenbuild has gained traction through collaborations with hospitals and research institutions, participation in regulatory discussions, and recognition in biotech and AI startup landscapes. Their business model is primarily SaaS and subscription-based, targeting healthcare providers, biotech, pharma, and medtech companies. The team includes founders and experts in biomedical engineering, AI, and software development, with notable advisors from the medical technology field.
Your mission Support in documenting Standard Operating Procedures (SOPs) for the Quality Management System (QMS) of an innovative software as a medical device that enables precise decision-making of physicians treating severe lung diseases in intensive care and beyond (e.g. COVID-19, ARDS, ILDs). On our journey towards certifying our innovative medical device, we are continuously improving our Quality Management System (QMS) in alignment with ISO 13485, IEC 62304, and other relevant standards for medical device development. As a working student, you will play an active role in shaping and maintaining the processes that ensure the quality and compliance of our products.
Your profile We are looking for a structured, motivated student who
Why us?
About Us We are a Munich-based startup building a digital twin platform for respiratory diseases – a monolithic digital toolset that elevates the actions of decision makers in healthcare and life sciences through physics-based simulation, AI, and data science. In the hands of industrial users, it fosters their understanding of pulmonary drug delivery to inform, accelerate and de-risk trial design and execution. In the hands of physicians, it will offer personalized treatment perspectives to improve the odds of survival and recovery in millions of cases of respiratory complication each year, such as Acute Respiratory Distress Syndrome (ARDS). Anywhere at any time.